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• Full Papers.- Audio Features, Precomputed for Podcast Retrieval and Information Access Experiments.- A Hybrid Approach for Stock Market Prediction Using Financial News and Stocktwits.- Dataset Creation Framework for Personalized Type-based Facet Ranking Tasks Evaluation.- SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers.- Evaluating Elements of Web-based Data Enrichment for Pseudo-Relevance Feedback Retrieval.- End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes.- Comparing Traditional and Neural Approaches for detecting Health-related Misinformation.- Towards the evaluation of Information Retrieval Systems on evolving datasets with pivot systems.- A Multi-Task Learning Model for Multidimensional Relevance Assessment.- Skill Extraction for Domain-Specific Text Retrieval in a Job-Matching Platform.- Linguistic Uncertainty in Clinical NLP: a Taxonomy, Dataset and Approach.- Best of 2020 Labs.- Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift.- Priberam at MESINESP Multi-label Classification of Medical Texts Task.- Herbarium-Field Triplet Network for Cross-Domain Plant Identification.- BERT-based Transformers for Early Detection of Mental Health Illnesses.- Dowsing for Math Answers.- Overviews 2021 Labs.- Overview of ARQMath-2 (2021): Second CLEFLab on Answer Retrieval for Questions on Math.- Overview of BioASQ
• 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.- The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News.- Overview of ChEMU
• 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.- Overview of the CLEF eHealth Evaluation Lab 2021.- Overview of eRisk
• 2021: Early Risk Prediction on the Internet.- Overview of the ImageCLEF
• 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications.- Overview of LifeCLEF
• 2021: an Evaluation of Machine-Learning based Species Identification and Species Distribution Prediction.- Overview of LiLAS 2021 - Living Labs for Academic Search.- Overview of PAN
• 2021: Authorship Verification, Pro ling Hate Speech Spreaders on Twitter, and Style Change Detection.- Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access.- Overview of Touch e
• 2021: Argument Retrieval.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 12th International Conference of the CLEF Association, CLEF 2021, held virtually in September 2021.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 11 full papers presented in this volume were carefully reviewed and selected from 21 submissions. This year, the contributions addressed the following challenges: application of neural methods for entity recognition as well as misinformation detection in the health area, skills extraction in job-match databases, stock market prediction using financial news, and extraction of audio features for podcast retrieval. In addition to this, the volume presents 5 "best of the labs" papers which were reviewed as full paper submissions with the same review criteria. 12 lab overview papers were accepted and represent scientific challenges based on new data sets and real world problems in multimodal and multilingual information access.
(source: Nielsen Book Data)

• Linguistic Formalization.- Digital Humanities and Teaching with NooJ.- Natural Language Processing Applications.
• (source: Nielsen Book Data)

This book constitutes selected revised papers of the 14th International Conference, NooJ 2020, held Zagreb, Croatia, in June 2020. Due to the COVID-19 pandemic the conference was held online. NooJ is a linguistic development environment that allows linguists to formalize several levels of linguistic phenomena. NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon. The 20 full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in the following topics: Linguistic Formalization; Digital Humanities and Teaching with NooJ; Natural Language Processing Applications. .
(source: Nielsen Book Data)

• The Role of Learning
• You can't Learn what's not there: Self Supervised Learning and the Poverty of the Stimulus
• Scaling Federated Learning for Fine-tuning of Large Language Models
• Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents
• Methodological Approaches
• Word Embedding-based Topic Similarity Measures
• Mixture Variational Autoencoder of Boltzmann Machines for Text Processing
• A Modular Approach for Romanian-English Speech Translation
• NumER: A Fine-grained Numeral Entity Recognition Dataset
• Cross-Domain Transfer of Generative Explanations using Text-to-Text Models
• Semantic Relations
• Virus Causes Flu: Identifying Causality in the Biomedical Domain using an Ensemble Approach with Target-specific Semantic Embeddings
• Multilevel Entity-Informed Business Relation Extraction
• The Importance of Character-Level Information in an Event Detection Model
• Classification
• Sequence-based Word Embeddings for Effective Text Classification
• BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages
• Multiword Expression Features for Automatic Hate Speech Detection
• Semantic Text Segment Classification of Structured Technical Content
• On the Generalization of Figurative Language Detection: the Case of Irony and Sarcasm
• Extracting Facts from Case Rulings through Paragraph Segmentation of Judicial Decisions
• Detection of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages
• Sentiment Analysis
• Multi-Step Transfer Learning for Sentiment Analysis
• Improving Sentiment Classification in Low Resource Bengali Language Utilizing Cross-lingual Self-supervised Learning
• Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
• Exploring Summarization to Enhance Headline Stance Detection
• Predicting Vaccine Hesitancy and Vaccine Sentiment using Topic Modeling and Evolutionary Optimization
• Sentiment Progression based Searching and Indexing of Literary Textual Artefacts
• Social Media
• Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection
• Authorship Attribution using Capsule-based Fusion Approach
• On the Explainability of Automatic Predictions of Mental Disorders from Social Media Data
• Linking Documents
• Using Document Embeddings for Background Linking of News Articles
• Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context
• Multimodality
• Cross-Active Connection for Image-Text Multimodal Feature Fusion
• Profiling Fake News Spreaders: Personality and Visual Information Matter 315
• Applications
• Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling
• Automated Retrieval of Graphical User Interface Prototypes from Natural Language Requirements.

This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021. The 19 full papers and 14 short papers were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: role of learning; methodological approaches; semantic relations; classification; sentiment analysis; social media; linking documents; multimodality; applications.

• Text-Independent Speaker Verification Employing CNN-LSTM-TDNN Hybrid Networks.- End-to-End Voice Spoofing Detection Employing Time Delay Neural Networks and Higher Order Statistics.- Assessing Velar Gestures Timing in European Portuguese Nasal Vowels with RT-MRI Data.- Designing and Deploying an Interaction Modality for Articulatory-Based Audiovisual Speech Synthesis.- Kurdish Spoken Dialect Recognition Using X-vector Speaker Embedding.- An ASR-based Tutor for Learning to Read: How to Optimize Feedback to First Graders.- Velocity Differences Between Velum Raising and Lowering Movements.- Pragmatic Markers of Russian Everyday Speech: Invariants in Dialogue and Monologue.- Language Adaptation for Speaker Recognition Systems using Contrastive Learning.- Evaluating X-vector-based Speaker Anonymization Under White-box Assessment.- Improved Prosodic Clustering for Multispeaker and Speaker-Independent Phoneme-Level Prosody Control.- Initial Experiments on Question Answering from the Intrinsic Structure of Oral History Archives.- Imagined, Intended, and Spoken Speech Envelope Synthesis from Neuromagnetic Signals.- What Causes Phonetic Reduction in Russian Speech: New Evidence from Machine Learning Algorithms.- Toxic Comment Classification Service in Social Network.- Deep Learning based Engagement Recognition in Highly Imbalanced Data.- Intraspeaker Variability of a Professional Lecturer: Ageing, Genre, Pragmatics vs. Voice Acting (Case Study).- An Ensemble Approach for the Diagnosis of COVID-19 from Speech and Cough Sounds.- Where are We in Semantic Concept Extraction for Spoken Language Understanding?.- Learning Mizo Tones from F0 Contours using 1D-CNN.- OCR Improvements for Images of Multi-Page Historical Documents.- X-Bridge: Image-to-Image Translation with Reconstruction Capabilities.- Who is Selling to Whom - Feature Evaluation for Multi-block Classification in Invoice Information Extraction.- Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in
• Machine Learning.- Text and Synthetic Data for Domain Adaptation in End-to-End Speech Recognition.- Speaker-invariant Speech-To-Intent Classification for Low-Resource Languages.- Speaker-Dependent Visual Command Recognition in Vehicle Cabin: Methodology and Evaluation.- Optimised Code-Switched Language Model Data Augmentation in Four Under-Resourced South African Languages.- Synthesis Speech based Data Augmentation for Low Resource Children ASR.- End-to-End Russian Speech Recognition Models with Multi-Head Attention.- Word-level Style Control for Expressive, Non-attentive Speech Synthesis.- Perceiving Speech Aggression with and without Textual Context on Twitter Social Network Site.-
• Assessing Speaker Interpolation in Neural Text-to-Speech.- A Mobile Application for Detection of Amyotrophic Lateral Sclerosis via Voice Analysis.- Child's Emotional Speech Classification by Human across Two Languages: Russian & Tamil.- Analysis of Dialogues of Typically Developing Children, Children with
• Down Syndrome and ASD using Machine Learning Methods.- Speaker Adaptation with Continuous Vocoder-based DNN-TTS.- Automatic Recognition of the Psychoneurological State of Children:
• Autism Spectrum Disorders, Down Syndrome, Typical Development.- Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation.- USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments.- A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English.- Dialog Speech Sentiment Classification for Imbalanced Datasets.- Explicit Control of the Level of Expressiveness in DNN-based Speech Synthesis by Embedding Interpolation.- Experimental Analysis of Expert and Quantitative Estimates of Syllable Recordings in the Process of Speech Rehabilitation.- Methods for Using Class Based N-gram Language Models in the Kaldi Toolkit.- Spectral Root Features for Replay Spoof Detection in Voice Assistants.-
• Influence of the Aggressive Internet Environment on Cognitive Personality Disorders (in Relation to the Russian Young Generation of Users).- Media Content vs Nature Stimuli Influence on Human Brain Activity.-
• Can Your Eyes Tell Us Why You Hesitate? Comparing Reading Aloud in Russian as L1 and Japanese as L2.- Recognition of Heavily Accented and Emotional Speech of English and Czech Holocaust Survivors using Various DNN Architectures.- Assessing Speaker-Independent Character Information for Acted Voices.- Influence of Speaker Pre-training on Character Voice Representation.- Opinion Classification via Word and Emoji Embedding Models with LSTM.- An Equal Data Setting for Attention-based Encoder-Decoder and
• HMM/DNN Models: a Case Study in Finnish ASR.- Speaker-aware Training of Speech Emotion Classifier with Speaker Recognition.- Neural Network Recognition of Russian Noun and Adjective Cases in the Google Books Ngram Corpus.- Is it a Filler or a Pause? A Quantitative Analysis of Filled Pauses in
• Hebrew.- Modified Group Delay Function using Different Spectral Smoothing Techniques for Voice Liveness Detection.- Complex Rhythm Adjustments in Multilingual Code-Switching across
• Mandarin, English and Russian.- Increasing the Precision of Dysarthric Speech Intelligibility and Severity
• Level Estimate.- Articulation During Voice Disguise: a Pilot Study.- Improvement of Speaker Number Estimation by Applying an Overlapped Speech Detector.- Mind Your Tweet: Abusive Tweet Detection.- Speaker Authorization for Air Traffic Control Security.- Prosodic Changes with Age: a Longitudinal Study on a Famous European Portuguese Native Speaker.- Automatic Selection of the Most Characterizing Features for Detecting COPD in Speech.- Multilingual Training Set Selection for ASR in Under-Resourced Malian
• Languages.- Human and Transformer-Based Prosodic Phrasing in Two Speech Genres.- Learning Efficient Representations for Keyword Spotting with Triplet Loss.- Regularized Forward-Backward Decoder for Attention Models.- Induced Local Attention for Transformer Models in Speech Recognition.- Applying EEND Diarization to Telephone Recordings from a Call Center.- Acoustic Characteristics of Speech Entrainment in Dialogues in Similar Phonetic Sequences.- Predicting Biometric Error Behaviour from Speaker Embeddings and a Fast Score Normalization Scheme.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 23rd International Conference on Speech and Computer, SPECOM 2021, held in St. Petersburg, Russia, in September 2021.* The 74 papers presented were carefully reviewed and selected from 163 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources. *Due to the COVID-19 pandemic, SPECOM 2021 was held as a hybrid event.
(source: Nielsen Book Data)

• Intro; SPECOM 2019 Preface; Organization; Contents; The Representation of Speech and Its Processing in the Human Brain and Deep Neural Networks; Abstract; 1 Introduction; 2 Speech Representations; 3 Adaptation to Non-standard Speech; 3.1 Does a DNN Show Human-Like Adaptation to Nonstandard Speech?; 3.2 Are Nonstandard Sounds Processed Similarly in Human Listeners and DNNs?; 4 Concluding Remarks; Acknowledgments; References; A Detailed Analysis and Improvement of Feature-Based Named Entity Recognition for Turkish; 1 Introduction; 2 Previous Work; 3 Datasets; 4 Methodology; 4.1 Model

• 4.2 Features4.3 Evaluation Metrics; 5 Results and Discussion; 6 Conclusion and Future Work; References; A Comparative Study of Classical and Deep Classifiers for Textual Addressee Detection in Human-Human-Machine Conversations; 1 Introduction; 2 Related Work; 3 Classifiers; 3.1 Classical Models; 3.2 Deep Models; 3.3 Fusion; 4 Corpora; 5 Experimental Results; 6 Conclusions; References; Acoustic Event Mixing to Multichannel AMI Data for Distant Speech Recognition and Acoustic Event Classification Benchmarking; 1 Introduction; 2 Preliminary Information; 2.1 Revision of Available Corpora

• 2.2 Problem Formulation3 Proposed Approach to Acoustic Event Mixing; 3.1 Acoustic Event Spatial Reverberation; 3.2 Acoustic Event Mixing; 3.3 Parameter Specification for the AMI Corpus; 4 Evaluation and Results; 4.1 Evaluation Methods and Metrics; 4.2 Evaluation Results; 5 Conclusion; References; Speech-Based L2 Call System for English Foreign Speakers; 1 Introduction; 2 Dataset Description; 3 Features Prediction; 3.1 Features Produced by Universal Sentence Encoder; 3.2 Features Using Python English Grammar Checker Toolkit; 3.3 Part-of-Speech (POS) Features

• 3.4 Response Embedding to Binary Features4 Evaluation; 4.1 Evaluation Metric; 4.2 Experiments and Results; 4.3 Fusion of Multiple Models; 4.4 Comparison and Discussion; 5 Conclusion and Future Work; References; A Pattern Mining Approach in Feature Extraction for Emotion Recognition from Speech; 1 Introduction; 2 Our Approach; 2.1 Dimensionality Reduction; 2.2 Discretization; 2.3 Pattern Mining; 2.4 Feature Extraction; 2.5 Classification; 3 Dataset and Experimental Results; 3.1 Dataset; 3.2 Experimental Results; 4 Conclusion; References

• Towards a Dialect Classification in German Speech Samples1 Introduction; 2 Methods; 2.1 Speech Data; 2.2 Models; 3 Baseline Experiments; 4 Results and Discussion; 5 Conclusions; References; Classification of Regional Accent Using Speech Rhythm Metrics; Abstract; 1 Introduction; 2 MSA Language; 3 Rhythm Modeling; 4 Participants; 5 Experiments and Results; 5.1 Rhythm Metrics Dataset; 5.2 Classifier Design; 5.3 Experiments; 6 Conclusion; References; PocketEAR: An Assistive Sound Classification System for Hearing-Impaired; 1 Introduction; 1.1 Motivation; 2 System Architecture

This book constitutes the proceedings of the 21st International Conference on Speech and Computer, SPECOM 2019, held in Istanbul, Turkey, in August 2019. The 57 papers presented were carefully reviewed and selected from 86 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.

• Invited Papers.- The Future of Text-Meaning in Computational Linguistics.- Deep Lexical Semantics.- Toward the Ultimate ASR Language Model.- Practical Prosody.- Text.- Sentiment Detection Using Lexically-Based Classifiers.- First Steps in Building a Verb Valency Lexicon for Romanian.- Hyponymy Patterns.- Temporal Issues and Recognition Errors on the Capitalization of Speech Transcriptions.- Web-Based Lemmatisation of Named Entities.- Combining Multiple Resources to Build Reliable Wordnets.- Active Tags for Semantic Analysis.- Spoken Requests for Tourist Information.- Affisix: Tool for Prefix Recognition.- Variants and Homographs.- An Empirical Bayesian Method for Detecting Out of Context Words.- Semantic Classes in Czech Valency Lexicon.- A Comparison of Language Models for Dialog Act Segmentation of Meeting Transcripts.- New Methods for Pruning and Ordering of Syntax Parsing Trees.- Web People Search with Domain Ranking.- Disyllabic Chinese Word Extraction Based on Character Thesaurus and Semantic Constraints in Word-Formation.- Statistical Word Sense Disambiguation in Contexts for Russian Nouns Denoting Physical Objects.- Where Do Parsing Errors Come From.- Dealing with Small, Noisy and Imbalanced Data.- Statistical Properties of Overlapping Ambiguities in Chinese Word Segmentation and a Strategy for Their Disambiguation.- The Verb Argument Browser.- Thinking in Objects.- Improving Unsupervised WSD with a Dynamic Thesaurus.- Normalization of Temporal Information in Estonian.- Word Sense Disambiguation with Semantic Networks.- A Pattern-Based Framework for Uncertainty Representation in Ontologies.- MSD Recombination for Statistical Machine Translation into Highly-Inflected Languages.- A Computational Framework to Integrate Different Semantic Resources.- Speech.- Age Determination of Children in Preschool and Primary School Age with GMM-Based Supervectors and Support Vector Machines/Regression.- Language Acquisition: The Emergence of Words from Multimodal Input.- A Tagged Corpus-Based Study for Repeats and Self-repairs Detection in French Transcribed Speech.- Study on Speaker Adaptation Methods in the Broadcast News Transcription Task.- Spoken Document Retrieval Based on Approximated Sequence Alignment.- Pitch Accents, Boundary Tones and Contours: Automatic Learning of Czech Intonation.- On the Use of MLP Features for Broadcast News Transcription.- Acoustic Modeling for Speech Recognition in Telephone Based Dialog System Using Limited Audio Resources.- Performance Evaluation for Voice Conversion Systems.- Influence of Reading Errors on the Text-Based Automatic Evaluation of Pathologic Voices.- Czech Pitch Contour Modeling Using Linear Prediction.- Energy Normalization in Automatic Speech Recognition.- HMM-Based Speech Synthesis for the Greek Language.- Advances in Acoustic Modeling for the Recognition of Czech.- Talking Head as Life Blog.- The Module of Morphological and Syntactic Analysis SMART.- An Extension to the Sammon Mapping for the Robust Visualization of Speaker Dependencies.- Analysis of Hypernasal Speech in Children with Cleft Lip and Palate.- Syllable Based Language Model for Large Vocabulary Continuous Speech Recognition of Polish.- Accent and Channel Adaptation for Use in a Telephone-Based Spoken Dialog System.- Efficient Unit-Selection in Text-to-Speech Synthesis.- Prosodic Events Recognition in Evaluation of Speech-Synthesis System Performance.- UU Database: A Spoken Dialogue Corpus for Studies on Paralinguistic Information in Expressive Conversation.- Perceptually Motivated Sub-band Decomposition for FDLP Audio Coding.- Forced-Alignment and Edit-Distance Scoring for Vocabulary Tutoring Applications.- Exploiting Contextual Information for Speech/Non-Speech Detection.- Identification of Speakers from Their Hum.- Reverse Correlation for Analyzing MLP Posterior Features in ASR.- Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition.- Multilingual Weighted Codebooks for Non-native Speech Recognition.- Prosodic Phrases and Semantic Accents in Speech Corpus for Czech TTS Synthesis.- Making Speech Technologies Available in (Serviko) Romani Language.- Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR.- A Framework for Language-Independent Analysis and Prosodic Feature Annotation of Text Corpora.- Quantification of Segmentation and F0 Errors and Their Effect on Emotion Recognition.- Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis.- Error Prediction-Based Semi-automatic Segmentation of Speech Databases.- Dialogue.- Cognitive and Emotional Interaction.- Architecture Model and Tools for Perceptual Dialog Systems.- The Generation of Emotional Expressions for a Text-Based Dialogue Agent.- Intelligent Voice Navigation of Spreadsheets.- A Semi-automatic Wizard of Oz Technique for Let'sFly Spoken Dialogue System.- Developing a Dialogue System.- Dialogue-Based Processing of Graphics and Graphical Ontologies.- An Issue-Based Approach to Information Search Modelling: Analysis of a Human Dialog Corpus.- Two-Level Fusion to Improve Emotion Classification in Spoken Dialogue Systems.- Automatic Semantic Annotation of Polish Dialogue Corpus.- Evaluation of the Slovak Spoken Dialogue System Based on ITU-T.- Shedding Light on a Troublesome Issue in NLIDBS.- Dialogue Based Text Editing.- SSML for Arabic Language.
• (source: Nielsen Book Data)

The annual Text, Speech and Dialogue Conference (TSD), which originated in 1998, is now starting its second decade. So far almost 900 authors from 45 countries have contributed to the proceedings. TSD constitutes a recognizedplatform for the presen- tion and discussion of state-of-the-art technology and recent achievements in the ?eld of natural language processing. It has become an interdisciplinary forum, interweaving the themes of speech technology and language processing. The conference attracts - searchers not only from Central and Eastern Europe, but also from other parts of the world. Indeed, one of its goals has always been to bring together NLP researchers with different interests from different parts of the world and to promote their mutual co- eration. One of the ambitions of the conference is, as its title says, not only to deal with dialogue systems as such, but also to contribute to improving dialogue between researchers in the two areas of NLP, i. e. , between text and speech people. In our view, the TSD conference was successful in this respect in 2008 as well. This volume contains the proceedings of the 11th TSD conference, held in Brno, Czech Republic in September 2008. Following the review process, 79 papers were - ceptedoutof173submitted, anacceptancerateof45. 7%.
(source: Nielsen Book Data)

• Invited Paper.- An Alternative Approach to Tagging.- Natural Language for Database Query Processing.- An Efficient Denotational Semantics for Natural Language Database Queries.- Email Management.- An Approach to Hierarchical Email Categorization Based on ME.- Developing Methods and Heuristics with Low Time Complexities for Filtering Spam Messages.- Semantic Annotation.- Exploit Semantic Information for Category Annotation Recommendation in Wikipedia.- A Lightweight Approach to Semantic Annotation of Research Papers.- Text Clustering.- A New Text Clustering Method Using Hidden Markov Model.- Identifying Event Sequences Using Hidden Markov Model.- The Dictionary-Based Quantified Conceptual Relations for Hard and Soft Chinese Text Clustering.- On-Line Single-Pass Clustering Based on Diffusion Maps.- Selecting Labels for News Document Clusters.- Ontology Engineering.- Generating Ontologies Via Language Components and Ontology Reuse.- Experiences Using the ResearchCyc Upper Level Ontology.- From OWL Class and Property Labels to Human Understandable Natural Language.- Ontological Text Mining of Software Documents.- Natural Language for Information System Design.- Treatment of Passive Voice and Conjunctions in Use Case Documents.- Natural Language Processing and the Conceptual Model Self-organizing Map.- Automatic Issue Extraction from a Focused Dialogue.- Information Retrieval Systems.- Character N-Grams Translation in Cross-Language Information Retrieval.- Cross-Lingual Information Retrieval by Feature Vectors.- Incomplete and Fuzzy Conceptual Graphs to Automatically Index Medical Reports.- Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion.- The Bootstrapping Based Recognition of Conceptual Relationship for Text Retrieval.- A Framework of NLP Based Information Tracking and Related Knowledge Organizing with Topic Maps.- Natural Language Processing Techniques.- DLSITE
• -1: Lexical Analysis for Solving Textual Entailment Recognition.- Text Segmentation Based on Document Understanding for Information Retrieval.- Named Entity Recognition for Arabic Using Syntactic Grammars.- Four Methods for Supervised Word Sense Disambiguation.- Enhancing Relation Extraction by Eliciting Selectional Constraint Features from Wikipedia.- A Computer Science Electronic Dictionary for NOOJ.- Applying Wikipedia's Multilingual Knowledge to Cross-Lingual Question Answering.- Zero Anaphora Resolution in Chinese and Its Application in Chinese-English Machine Translation.- Short Papers.- Rule-Based Partial MT Using Enhanced Finite-State Grammars in NooJ.- Biomedical Named Entity Recognition: A Poor Knowledge HMM-Based Approach.- Unsupervised Language Independent Genetic Algorithm Approach to Trivial Dialogue Phrase Generation and Evaluation.- Large-Scale Knowledge Acquisition from Botanical Texts.- Lexical-Based Alignment for Reconstruction of Structure in Parallel Texts.- Electronic Dictionaries and Transducers for Automatic Processing of the Albanian Language.- Two Methods of Evaluation of Semantic Similarity of Nouns Based on Their Modifier Sets.- A Service Oriented Architecture for Adaptable Terminology Acquisition.- Domain Relevance on Term Weighting.- Flexible and Customizable NL Representation of Requirements for ETL processes.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, held in Paris, France in June 2007. It covers natural language for database query processing, email management, semantic annotation, text clustering, ontology engineering, natural language for information system design, information retrieval systems, and natural language processing techniques.
(source: Nielsen Book Data)

• Invited Talks.- Language Modeling with Linguistic Cluster Constraints.- Some of Our Best Friends Are Statisticians.- Some Special Problems of Speech Communication.- Recent Advances in Spoken Language Understanding.- Text.- Transformation-Based Tectogrammatical Dependency Analysis of English.- Multilingual Name Disambiguation with Semantic Information.- Inducing Classes of Terms from Text.- Accurate Unlexicalized Parsing for Modern Hebrew.- Disambiguation of the Neuter Pronoun and Its Effect on Pronominal Coreference Resolution.- Constructing a Large Scale Text Corpus Based on the Grid and Trustworthiness.- Disambiguating Hypernym Relations for Roget's Thesaurus.- Dependency and Phrasal Parsers of the Czech Language: A Comparison.- Automatic Word Clustering in Russian Texts.- Feature Engineering in Maximum Spanning Tree Dependency Parser.- Automatic Selection of Heterogeneous Syntactic Features in Semantic Similarity of Polish Nouns.- Bilingual News Clustering Using Named Entities and Fuzzy Similarity.- Extractive Summarization of Broadcast News: Comparing Strategies for European Portuguese.- On the Evaluation of Korean WordNet.- An Adaptive Keyboard with Personalized Language-Based Features.- An All-Path Parsing Algorithm for Constraint-Based Dependency Grammars of CF-Power.- Word Distribution Based Methods for Minimizing Segment Overlaps.- On the Relative Hardness of Clustering Corpora.- Indexing and Retrieval Scheme for Content-Based Multimedia Applications.- Automatic Diacritic Restoration for Resource-Scarce Languages.- Lexical and Perceptual Grounding of a Sound Ontology.- Named Entities in Czech: Annotating Data and Developing NE Tagger.- Identifying Expressions of Emotion in Text.- ECAF: Authoring Language for Embodied Conversational Agents.- Speech.- Dynamic Adaptation of Language Models in Speech Driven Information Retrieval.- Whitening-Based Feature Space Transformations in a Speech Impediment Therapy System.- Spanish-Basque Parallel Corpus Structure: Linguistic Annotations and Translation Units.- An Automatic Version of the Post-Laryngectomy Telephone Test.- Speaker Normalization Via Springy Discriminant Analysis and Pitch Estimation.- A Study on Speech with Manifest Emotions.- Speech Recognition Supported by Prosodic Information for Fixed Stress Languages.- TRAP-Based Techniques for Recognition of Noisy Speech.- Intelligibility Is More Than a Single Word: Quantification of Speech Intelligibility by ASR and Prosody.- Appositions Versus Double Subject Sentences - What Information the Speech Analysis Brings to a Grammar Debate.- Automatic Evaluation of Pathologic Speech - from Research to Routine Clinical Use.- The LIA Speech Recognition System: From 10xRT to 1xRT.- Logic-Based Rhetorical Structuring for Natural Language Generation in Human-Computer Dialogue.- Text-Independent Speaker Identification Using Temporal Patterns.- Recording and Annotation of Speech Corpus for Czech Unit Selection Speech Synthesis.- Sk-ToBI Scheme for Phonological Prosody Annotation in Slovak.- Towards Automatic Transcription of Large Spoken Archives in Agglutinating Languages - Hungarian ASR for the MALACH Project.- Non-uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes.- Filled Pauses in Speech Synthesis: Towards Conversational Speech.- Exploratory Analysis of Word Use and Sentence Length in the Spoken Dutch Corpus.- Design of Tandem Architecture Using Segmental Trend Features.- An Automatic Retraining Method for Speaker Independent Hidden Markov Models.- User Modeling to Support the Development of an Auditory Help System.- Fast Discriminant Training of Semi-continuous HMM.- Speech/Music Discrimination Using Mel-Cepstrum Modulation Energy.- Parameterization of the Input in Training the HVS Semantic Parser.- A Comparison Using Different Speech Parameters in the Automatic Emotion Recognition Using Feature Subset Selection Based on Evolutionary Algorithms.- Benefit of Maximum Likelihood Linear Transform (MLLT) Used at Different Levels of Covariance Matrices Clustering in ASR Systems.- Information Retrieval Test Collection for Searching Spontaneous Czech Speech.- Inter-speaker Synchronization in Audiovisual Database for Lip-Readable Speech to Animation Conversion.- Constructing Empirical Models for Automatic Dialog Parameterization.- The Effect of Lexicon Composition in Pronunciation by Analogy.- Festival-si: A Sinhala Text-to-Speech System.- Voice Conversion Based on Probabilistic Parameter Transformation and Extended Inter-speaker Residual Prediction.- Automatic Czech - Sign Speech Translation.- Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System.- Pitch Marks at Peaks or Valleys?.- Quality Deterioration Factors in Unit Selection Speech Synthesis.- Topic-Focus Articulation Algorithm on the Syntax-Prosody Interface of Romanian.- Translation and Conversion for Czech Sign Speech Synthesis.- Dialog.- A Wizard-of-Oz System Evaluation Study.- New Measures for Open-Domain Question Answering Evaluation Within a Time Constraint.- A Methodology for Domain Dialogue Engineering with the Midiki Dialogue Manager.- The Intonational Realization of Requests in Polish Task-Oriented Dialogues.- Analysis of Changes in Dialogue Rhythm Due to Dialogue Acts in Task-Oriented Dialogues.- Recognition and Understanding Simulation for a Spoken Dialog Corpus Acquisition.- First Approach in the Development of Multimedia Information Retrieval Resources for the Basque Context.- The Weakest Link.- A Spoken Dialog System for Chat-Like Conversations Considering Response Timing.- Digitisation and Automatic Alignment of the DIALOG Corpus: A Prosodically Annotated Corpus of Czech Television Debates.- Setting Layout in Dialogue Generating Web Pages.- Graph-Based Answer Fusion in Multilingual Question Answering.- Using Query-Relevant Documents Pairs for Cross-Lingual Information Retrieval.- Detection of Dialogue Acts Using Perplexity-Based Word Clustering.- Dialogue Management for Intelligent TV Based on Statistical Learning Method.- Multiple-Taxonomy Question Classification for Category Search on Faceted Information.- Indexing and Retrieval Scheme for Content-Based Multimedia Applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 10th International Conference on Text, Speech and Dialogue, TSD 2007, held in Pilsen, Czech Republic, in September 2007. The 80 revised full papers presented in this volume cover a wealth of state-of-the-art research results in the field of natural language processing with an emphasis on text, speech, and spoken dialogue ranging from theoretical and methodological issues to applications in various fields.
(source: Nielsen Book Data)

• Decidable Fragments of Calculi Used in CatLog.- Interactive Theorem Proving for Logic and Information.- A Valence Catalogue for Norwegian.- Arabic Computational Linguistics: Potential, Pitfalls and Challenges.
• (source: Nielsen Book Data)

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.
(source: Nielsen Book Data)

• PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media.- Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus.- Dialog Modelling Experiments with Finnish One-to-One Chat Data.- Advances of Transformer-Based Models for News Headline Generation.- An explanation method for black-box machine learning survival models using the Chebyshev distance.- Unsupervised Neural Aspect Extraction with Related Terms.- Predicting Eurovision Song Contest Results using Sentiment Analysis.- Improving Results on Russian Sentiment Datasets.- Dataset for Automatic Summarization of Russian News.- Dataset for evaluation of mathematical reasoning abilities in Russian.- Searching Case Law Judgments by Using Other Judgments as a Query.- GenPR: Generative PageRank framework for Semi-Supervised Learning on citation graphs.- Finding New Multiword Expressions for Existing Thesaurus.- Matching LIWC with Russian Thesauri: An Exploratory Study.- Chinese-Russian Shared Task on Multi-Domain Translation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th Conference on Artificial Intelligence and Natural Language, AINL 2020, held in Helsinki, Finland, in October 2020. The 11 revised full papers and 3 short papers were carefully reviewed and selected from 36 submissions. Additionally, the volume presents 1 shared task paper. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics. .
(source: Nielsen Book Data)

• Language Resources, Tools and Evaluation.- Less-Resourced Languages.- Speech Processing.- Morphology.- Computational Semantics.- Machine Translation.- Information Retrieval and Information Extraction.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 8th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2017, held in Poznan, Poland, in November 2017. The 26 revised papers presented in this volume were carefully reviewed and selected from 97 submissions. The papers selected to this volume belong to various fields of: Language Resources, Tools and Evaluation, Less-Resourced-Languages, Speech Processing, Morphology, Computational Semantics, Machine Translation, and Information Retrieval and Information Extraction.
(source: Nielsen Book Data)

• Title page; Preface; Contents; Invited Lectures; Regular Papers; Short Papers; Subject Index; Author Index

Contains papers that cover a range of Natural Language Processing (NLP) applications, including machine learning and translation, logic, computational phonology, morphology and semantics, data mining, information extraction and disambiguation, as well as programming, optimization and compression of finite-state networks.

• Trends and Opportunities
• Has Computational Linguistics Become More Applied?
• Opportunities for Natural Language Processing Research in Education
• Linguistic Knowledge Representation Formalisms
• Information Structure in a Formal Framework
• A Karaka Based Annotation Scheme for English
• Corpus Analysis and Lexical Resources
• Substring Statistics
• Evaluation of the Syntactic Annotation in EPEC, the Reference Corpus for the Processing of Basque
• Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods
• Unsupervised Classification of Verb Noun Multi-Word Expression Tokens
• Extraction of Lexical Knowledge
• Semantic Mapping for Related Term Identification
• An Improved Automatic Term Recognition Method for Spanish
• Bootstrapping a Verb Lexicon for Biomedical Information Extraction
• TermeX: A Tool for Collocation Extraction
• Morphology and Parsing
• Guessers for Finite-State Transducer Lexicons
• Combining Language Modeling and Discriminative Classification for Word Segmentation
• Formal Grammar for Hispanic Named Entities Analysis
• Automatic Extraction of Clause Relationships from a Treebank
• A General Method for Transforming Standard Parsers into Error-Repair Parsers
• Semantics
• Topic-Focus Articulation from the Semantic Point of View
• The Value of Weights in Automatically Generated Text Structures
• AORTE for Recognizing Textual Entailment
• Word Sense Disambiguation
• Semi-supervised Word Sense Disambiguation Using the Web as Corpus
• Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
• Alleviating the Problem of Wrong Coreferences in Web Person Search
• Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
• Machine Translation and Multilinguism
• Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
• Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
• Cross-Language Frame Semantics Transfer in Bilingual Corpora
• A Parallel Corpus Labeled Using Open and Restricted Domain Ontologies
• Language Identification on the Web: Extending the Dictionary Method
• Information Extraction and Text Mining
• Business Specific Online Information Extraction from German Websites
• Low-Cost Supervision for Multiple-Source Attribute Extraction
• An Integrated Architecture for Processing Business Documents in Turkish
• Detecting Protein-Protein Interactions in Biomedical Texts Using a Parser and Linguistic Resources
• Learning to Learn Biological Relations from a Small Training Set
• Using a Bigram Event Model to Predict Causal Potential
• Semantic-Based Temporal Text-Rule Mining
• Generating Executable Scenarios from Natural Language
• Determining the Polarity and Source of Opinions Expressed in Political Debates
• Information Retrieval and Text Comparison
• Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
• NLP for Shallow Question Answering of Legal Documents Using Graphs
• Semantic Clustering for a Functional Text Classification Task
• Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance
• Empirical Paraphrasing of Modern Greek Text in Two Phases: An Application to Steganography
• BorderFlow: A Local Graph Clustering Algorithm for Natural Language Processing
• Generalized Mongue-Elkan Method for Approximate Text String Comparison
• Text Summarization
• Estimating Risk of Picking a Sentence for Document Summarization
• The Decomposition of Human-Written Book Summaries
• Applications to the Humanities
• Linguistic Ethnography: Identifying Dominant Word Classes in Text.

This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with four invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.
(source: Nielsen Book Data)

• Oral - Fundamentals of NLP.- Coreference Resolution: Are the eliminated spans totally worthless?.- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network.- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space.- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing.- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks.- CTRD: A Chinese Theme-Rheme Discourse Dataset.- Machine Translation and Multilinguality.- Learning to Select Relevant Knowledge for Neural Machine Translation.- Contrastive Learning for Machine Translation Quality Estimation.- Sentence-State LSTMs for Sequence-to-Sequence Learning.- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models.- Adaptive Transformer for Multilingual Neural Machine Translation.- Improving Non-Autoregressive Machine Translation with Soft-Masking.- Machine Learning for NLP.- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space.- AutoTrans: Automating Transformer Design via Reinforced Architecture Search.- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information.- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.- Pre-trained Language models for Tagalog with Multi source data.- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation.- Information Extraction and Knowledge Graph.- Employing Sentence Compression to improve Event Coreference Resolution.- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment.- Employing Multi-granularity Features to Extract Entity Relation in Dialogue.- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning.- Entity-Aware Relation Representation Learning for Open Relation Extraction.- ReMERT: Relational Memory-based Extraction for Relational Triples.- Recognition of Nested Entity with Dependency Information.- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction.- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER.- Summarization and Generation.- Diversified Paraphrase Generation with Commonsense Knowledge Graph.- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation.- Chinese Poetry Generation with Metrical Constraints.- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level.- Question Generation from Code Snippets and Programming Error Messages.- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network.- Question Answering.- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension.- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension.- Dialogue Systems.- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection.- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling.- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution.- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation.- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF.- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction.- Social Media and Sentiment Analysis.- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis.- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis.- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification.- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection.- Aspect-Sentiment-Multiple-Opinion Triplet Extraction.- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis.- Emotion Classification with Explicit and Implicit Syntactic Information.- MUMOR:A Multimodal Dataset for Humor Detection in Conversations.- NLP Applications and Text Mining.- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification.- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling.- Aggregating inter-viewpoint relationships of user's review for accurate recommendation.- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification.- Sentence Ordering by Context-enhanced Pairwise Comparison.- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation.- A Simple Baseline for Cross-domain Few-shot Text Classification.- Shared Component Cross Punctuation Clauses Recognition in Chinese.- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics.- Uncertainty-aware Self-paced Learning for Grammatical Error Correction.- Metaphor Recognition and Analysis via Data Augmentation.- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning.- Multimodality and Explainability.- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks.- XGPT: Cross-modal Generative Pre-Training for Image Captioning.- An Object-Extensible Training Framework for Image Captioning.- Relation-aware Multi-hop Reasoning for Visual Dialog.- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism.
• (source: Nielsen Book Data)

• Posters - Fundamentals of NLP.- Syntax and Coherence - The Effect on Automatic Argument Quality Assessment.- ExperienceGen 1
• .0: A Text Generation Challenge Which Requires Deduction and Induction Ability.- Machine Translation and Multilinguality.- SynXLM-R: Syntax-enhanced XLM-R in Translation Quality Estimation.- Machine Learning for NLP.- Memetic Federated Learning for Biomedical Natural Language Processing.- Information Extraction and Knowledge Graph.- Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network.- Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation.- Searching Effective Transformer for Seq2Seq Keyphrase Generation.- Prerequisite Learning with Pre-trained Language and Graph Embedding Models.- Summarization and Generation.- Variational Autoencoder with Interactive Attention for Affective Text Generation.- CUSTOM: Aspect-Oriented Product Summarization for E-Commerce.- Question Answering.- FABERT: A Feature Aggregation BERT-Based Model for Document Reranking.- Generating Relevant, Correct and Fluent Answers in Natural Answer Generation.- GeoCQA: A Large-scale Geography-Domain Chinese Question Answering Dataset from Examination.- Dialogue Systems.- Generating Informative Dialogue Responses with Keywords-Guided Networks.- Zero-Shot Deployment for Cross-Lingual Dialogue System.- MultiWOZ 2
• .3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation.- EmoDialoGPT: Enhancing DialoGPT with Emotion.- Social Media and Sentiment Analysis.- BERT-based Meta-learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews.- ISWR: an Implicit Sentiment Words Recognition Model Based on Sentiment Propagation.- An Aspect-Centralized Graph Convolutional Network for Aspect-based Sentiment Classification.- NLP Applications and Text Mining.- Capturing Global Informativeness in Open Domain Keyphrase Extraction.- Background Semantic Information Improves VerbalMetaphor Identification.- Multimodality and Explainability.- Towards unifying the explainability evaluation methods for NLP.- Explainable AI Workshop.- Detecting Covariate Drift with Explanations.- A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts.- Student Workshop.- Enhancing Model Robustness via Lexical Distilling.- Multi-stage Multi-modal Pre-training for Video Representation.- Nested Causality Extraction on Traffic Accident Texts as Question Answering.- Evaluation Workshop.- MSDF: A General Open-Domain Multi-Skill Dialog Framework.- RoKGDS: A Robust Knowledge Grounded Dialog System.- Enhanced Few-shot Learning with Multiple-Pattern-Exploiting Training.- BIT-Event at NLPCC-2021 Task
• 3: Subevent Identification via Adversarial Training.- Few-shot Learning for Chinese NLP tasks.- When Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba at FewCLUE.- TKB(2)ert: Two-stage Knowledge Infused Behavioral Fine-tuned BERT.- A Unified Information Extraction System Based on Role Recognition and Combination.- A Simple but Effective System for Multi-format Information Extraction.- A Hierarchical Sequence Labeling Model for Argument Pair Extraction.- Distant finetuning with discourse relations for stance classification.- The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-Format Information Extraction Task.- A Unified Platform for Information Extraction with Two-stage Process.- Overview of the NLPCC 2021 Shared Task: AutoIE2.- Task 1 - Argumentative Text Understanding for AI Debater (AIDebater).- Two Stage Learning for Argument Pairs Extraction.- Overview of Argumentative Text Understanding for AI Debater Challenge.- ACE: A Context-Enhanced model for Interactive Argument Pair Identification.- Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification.- ARGUABLY @ AI Debater-NLPCC 2021 Task
• 3: Argument Pair Extraction from Peer Review and Rebuttals.- Sentence Rewriting for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021 Argumentative Text Understanding for AI Debater as an Example.- Knowledge Enhanced transformers System for Claim Stance Classification.
• (source: Nielsen Book Data)

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
(source: Nielsen Book Data)

• Oral - Fundamentals of NLP.- Coreference Resolution: Are the eliminated spans totally worthless?.- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network.- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space.- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing.- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks.- CTRD: A Chinese Theme-Rheme Discourse Dataset.- Machine Translation and Multilinguality.- Learning to Select Relevant Knowledge for Neural Machine Translation.- Contrastive Learning for Machine Translation Quality Estimation.- Sentence-State LSTMs for Sequence-to-Sequence Learning.- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models.- Adaptive Transformer for Multilingual Neural Machine Translation.- Improving Non-Autoregressive Machine Translation with Soft-Masking.- Machine Learning for NLP.- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space.- AutoTrans: Automating Transformer Design via Reinforced Architecture Search.- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information.- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.- Pre-trained Language models for Tagalog with Multi source data.- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation.- Information Extraction and Knowledge Graph.- Employing Sentence Compression to improve Event Coreference Resolution.- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment.- Employing Multi-granularity Features to Extract Entity Relation in Dialogue.- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning.- Entity-Aware Relation Representation Learning for Open Relation Extraction.- ReMERT: Relational Memory-based Extraction for Relational Triples.- Recognition of Nested Entity with Dependency Information.- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction.- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER.- Summarization and Generation.- Diversified Paraphrase Generation with Commonsense Knowledge Graph.- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation.- Chinese Poetry Generation with Metrical Constraints.- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level.- Question Generation from Code Snippets and Programming Error Messages.- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network.- Question Answering.- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension.- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension.- Dialogue Systems.- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection.- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling.- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution.- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation.- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF.- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction.- Social Media and Sentiment Analysis.- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis.- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis.- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification.- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection.- Aspect-Sentiment-Multiple-Opinion Triplet Extraction.- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis.- Emotion Classification with Explicit and Implicit Syntactic Information.- MUMOR:A Multimodal Dataset for Humor Detection in Conversations.- NLP Applications and Text Mining.- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification.- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling.- Aggregating inter-viewpoint relationships of user's review for accurate recommendation.- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification.- Sentence Ordering by Context-enhanced Pairwise Comparison.- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation.- A Simple Baseline for Cross-domain Few-shot Text Classification.- Shared Component Cross Punctuation Clauses Recognition in Chinese.- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics.- Uncertainty-aware Self-paced Learning for Grammatical Error Correction.- Metaphor Recognition and Analysis via Data Augmentation.- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning.- Multimodality and Explainability.- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks.- XGPT: Cross-modal Generative Pre-Training for Image Captioning.- An Object-Extensible Training Framework for Image Captioning.- Relation-aware Multi-hop Reasoning for Visual Dialog.- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism.
• (source: Nielsen Book Data)

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
(source: Nielsen Book Data)

• Conversational Bot/QA/IR.- Knowledge graph/IE.- Machine Learning for NLP.- Machine Translation.- NLP Applications.- NLP for Social Network.- NLP Fundamentals.- Text Mining.- Short Papers.- Explainable AI Workshop.- Student Workshop.- Evaluation Workshop. .
• (source: Nielsen Book Data)

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop. .
(source: Nielsen Book Data)

• Human Behaviour and Pandemic.- Applications in Medicine.- Industrial Applications.- Natural Language Processing.
• (source: Nielsen Book Data)

This book constitutes selected and revised papers from the First Mediterranean Forum - Data Science Conference, MeFDATA 2020, held in Sarajevo, Bosnia and Herzegovina, in October 2020. The 11 papers presented were carefully reviewed and selected from the 26 qualified submissions. The papers are organized in the topical sections on human behaviour and pandemic; applications in medicine; industrial applications; natural language processing.
(source: Nielsen Book Data)

• Recognition of Arabic Phonological Changes by Local Grammars in NooJ
• Lexicon-grammar tables development for Arabic psychological verbs
• The Identification of English Non-Finite Structures Using NooJ Platform
• Automatic recognition and translation of polysemous verbs using the platform NooJ
• Negation of Croatian Nouns
• The automatic generation of NooJ dictionaries from lexicon-grammar tables
• The Data Scientist on LinkedIn: Job advertisement corpus processing with NooJ
• Mining entrepreneurial commitment in university communication: evidence from Italy
• Disambiguation for Arabic Question-Answering system
• Recognition and analysis of opinion questions in standard Arabic
• Automatic Text Generation: How to Write the Plot of a Novel with NooJ
• Arabic learning application to enhance the Educational process in Moroccan MidHigh stage using NooJ platform
• (SLF) for Portuguese Learners using NooJ
• Construction of Educational Games with NooJ
• Detecting Hate Speech Online: A Case of Croatian
• Dealing with Producing and Consuming Expressions in Italian Sentiment Analysis
• Rule based method for terrorism, violence and threat classification: application to Arabic Tweets.

This book constitutes the refereed proceedings of the 13th International Conference, NooJ 2019, held in Hammamet, Tunisia, in June 2019. NooJ is a linguistic development environment that allows linguists to formalize several levels of linguistic phenomena. NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon. The 18 full papers presented were carefully reviewed and selected from 54 submissions. The papers are organized in the following tracks: Development of Linguistic Resources, Natural Language Processing Applications, NooJ for the Digital Humanities.