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• Intro
• Preface
• Organization
• Contents
• Part II
• Contents
• Part I
• Question Answering (Poster)
• Faster and Better Grammar-Based Text-to-SQL Parsing via Clause-Level Parallel Decoding and Alignment Loss
• 1 Introduction
• 2 Related Works
• 3 Our Proposed Model
• 3.1 Grammar-Based Text-to-SQL Parsing
• 3.2 Clause-Level Parallel Decoding
• 3.3 Clause-Level Alignment Loss
• 4 Experiments
• 4.1 Experimental Setup
• 4.2 Results
• 4.3 Analysis
• 5 Conclusions
• References
• Two-Stage Query Graph Selection for Knowledge Base Question Answering
• 1 Introduction

• 2 Our Approach
• 2.1 Query Graph Generation
• 2.2 Two-Stage Query Graph Selection
• 3 Experiments
• 3.1 Experimental Setup
• 3.2 Main Results
• 3.3 Discussion and Analysis
• 4 Related Work
• 5 Conclusions
• References
• Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension
• 1 Introduction
• 2 Methodology
• 2.1 Task Formulation
• 2.2 Proposed Module: PIECER
• 2.3 Plugging PIECER into MRC Models
• 3 Experiments
• 3.1 Datasets
• 3.2 Base Models
• 3.3 Experimental Settings
• 3.4 Main Results
• 3.5 Analysis and Discussions
• 4 Related Work

• 5 Conclusion
• References
• Social Media and Sentiment Analysis (Poster)
• FuDFEND: Fuzzy-Domain for Multi-domain Fake News Detection
• 1 Introduction
• 2 Related Work
• 2.1 Fake News Detection Methods
• 2.2 Multi-domain Rumor Task
• 3 FuDFEND: Fuzzy-Domain Fake News Detection Model
• 3.1 Membership Function
• 3.2 Feature Extraction
• 3.3 Domain Gate
• 3.4 Fake News Prediction and Loss Function
• 4 Experiment
• 4.1 Dataset
• 4.2 Experiment Setting
• 4.3 Train Membership Function and FuDFEND
• 4.4 Experiment on Weibo21
• 4.5 Experiment on Thu Dataset
• 5 Conclusion

• 6 Future Work
• References
• NLP Applications and Text Mining (Poster)
• Continuous Prompt Enhanced Biomedical Entity Normalization
• 1 Introduction
• 2 Related Work
• 2.1 Biomedical Entity Normalization
• 2.2 Prompt Learning and Contrastive Loss
• 3 Our Method
• 3.1 Prompt Enhanced Scoring Mechanism
• 3.2 Contrastive Loss Enhanced Training Mechanism
• 4 Experiments and Analysis
• 4.1 Dataset and Evaluation
• 4.2 Data Preprocessing
• 4.3 Experiment Setting
• 4.4 Overall Performance
• 4.5 Ablation Study
• 5 Conclusion
• References

• Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification
• 1 Introduction
• 2 Model
• 2.1 Preliminaries
• 2.2 Bidirectional Multi-channel Semantic Interaction Model
• 3 Experiments
• 3.1 Experimental Settings
• 3.2 Results and Analysis
• 3.3 Ablation Test
• 4 Conclusions
• References
• Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
• 1 Introduction
• 2 Related Work
• 3 Methodology
• 3.1 Notation
• 3.2 TReaderXML
• 4 Experiments
• 4.1 Datasets and Preprocessing
• 4.2 Baselines

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022. The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 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.

• Fundamentals of NLP
• Machine Translation and Multilinguality
• Machine Learning for NLP
• Information Extraction and Knowledge Graph
• Summarization and Generation
• Question Answering
• Dialogue System
• Social Media and Sentiment Analysis
• NLP Applications and Text Mining
• Multimodality and Explainability
• A Deep Learning Model for Chinese Textual Entailment Recognition based on Synonym Expansion and Sememe Enhancement
• Information Extraction and Knowledge Graph Emotion-Cause Pair Extraction via Transformer-based Interaction Model with Text Capsule Network
• Summarization and Generation
• Question Answering Deep structure-aware Approach for QA over Incomplete Knowledge Bases
• On-Device Machine Reading Comprehension Model with Adaptive Fast Inference
• Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Two-stage Query Graph Selection for Knowledge Base Question Answering
• Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension
• Social Media and Sentiment Analysis FuDFEND: Fuzzy-domain for Multi-domain Fake News Detection
• NLP Applications and Text Mining
• Natural language processing (NLP)
• , Syntax (Tagging, Chunking and Parsing), Semantics
• , NLP Applications, Machine Learning for NLP
• , Machine Translation and Multilinguality, Knowledge Graph
• , Information Extraction and Knowledge Acquisition
• Information Retrieval and Text Mining
• , Linguistic Theories and Cognitive Modeling and Psycholinguistics, Discourse and Pragmatics
• , Dialogue and Interactive Systems, Lexical Semantics, Text Summarization and Generation, Phonology/Morphology
• , Language Resources and Evaluation, Explainability
• Ethics and NLP, Speech and Multimodality.

This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022. The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 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.

• Fundamentals on Language Computing
• Text Window Denoising Autoencoder: Building Deep Architecture for Chinese Word Segmentation / Ke Wu [and others]
• Language Model for Cyrillic Mongolian to Traditional Mongolian Conversion / Feilong Bao [and others]
• Sentence Compression Based on ILP Decoding Method / Hongling Wang, Yonglei Zhang and Guodong Zhou
• Chinese Negation and Speculation Detection with Conditional Random Fields / Zhancheng Chen [and others]
• Chinese Argument Extraction Based on Trigger Mapping / Yuan Huang, Peifeng Li and Qiaoming Zhu
• Exploring Multiple Chinese Word Segmentation Results Based on Linear Model / Chen Su [and others]
• Applications on Language Computing
• A Unified Framework for Emotional Elements Extraction Based on Finite State Matching Machine / Yunzhi Tan [and others]
• Structure-Based Web Access Method for Ancient Chinese Characters / Xiaoqing Lu [and others]
• Simulated Spoken Dialogue System Based on IOHMM with User History / Changliang Li [and others]
• A Mixed Model for Cross Lingual Opinion Analysis / Lin Gui [and others].

• Machine Learning for NLP
• Semi-supervised Text Categorization by Considering Sufficiency and Diversity / Shoushan Li [and others]
• Pseudo In-Domain Data Selection from Large-Scale Web Corpus for Spoken Language Translation / Shixiang Lu [and others]
• Discriminative Latent Variable Based Classifier for Translation Error Detection / Jinhua Du, Junbo Guo and Fei Zhao
• Incorporating Entities in News Topic Modeling / Linmei Hu [and others]
• Machine Translation and Multi-Lingual Information Access
• An Efficient Framework to Extract Parallel Units from Comparable Data / Lu Xiang, Yu Zhou and Chengqing Zong
• A Method to Construct Chinese-Japanese Named Entity Translation Equivalents Using Monolingual Corpora / Kuang Ru [and others]
• Collective Corpus Weighting and Phrase Scoring for SMT Using Graph-Based Random Walk / Lei Cui [and others]
• A Simple, Fast Strategy for Weighted Alignment Hypergraph / Zhaopeng Tu [and others].

• NLP for Social Media and Web Mining
• Research on Building Family Networks Based on Bootstrapping and Coreference Resolution / Jinghang Gu [and others]
• Learning Sentence Representation for Emotion Classification on Microblogs / Duyu Tang [and others]
• Every Term Has Sentiment: Learning from Emoticon Evidences for Chinese Microblog Sentiment Analysis / Fei Jiang [and others]
• Active Learning for Cross-Lingual Sentiment Classification / Shoushan Li [and others]
• Expanding User Features with Social Relationships in Social Recommender Systems / Chengjie Sun [and others]
• Knowledge Acquisition
• A Hybrid Approach for Extending Ontology from Text / Wei He, Shuang Li and Xiaoping Yang
• Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base / Yi Zeng [and others]
• Entity Linking from Microblogs to Knowledge Base Using ListNet Algorithm / Yan Wang [and others]
• NLP for Search Technology and Ads.

• Automatic Assessment of Information Disclosure Quality in Chinese Annual Reports / Xin Ying Qiu, Shengyi Jiang and Kebin Deng
• A Fast Matching Method Based on Semantic Similarity for Short Texts / Jiaming Xu [and others]
• Query Generation Techniques for Patent Prior-Art Search in Multiple Languages / Dong Zhou, Jianxun Liu and Sanrong Zhang
• Improve Web Search Diversification with Intent Subtopic Mining / Aymeric Damien [and others]
• Understanding Temporal Intent of User Query Based on Time-Based Query Classification / Pengjie Ren [and others]
• Short Papers I: NLP Fundamentals
• Research on Semantic-Based Passive Transformation in Chinese-English Machine Translation / Wenfei Chang, Zhiying Liu and Yaohong Jin
• Research of an Improved Algorithm for Chinese Word Segmentation Dictionary Based on Double-Array Trie Tree / Wenchuan Yang, Jian Liu and Miao Yu
• Study on Tibetan Word Segmentation as Syllable Tagging / Yachao Li and Hongzhi Yu.

• The Spoken/Written Language Classification of English Sentences with Bilingual Information / Kuan Li [and others]
• Short Papers II: NLP Applications
• Design and Implementation of News-Oriented Automatic Summarization System Based on Chinese RSS / Jie Wang, Jie Ma and Yingjun Li
• Grey Relational Analysis for Query Expansion / Junjie Zou [and others]
• A Comprehensive Method for Text Summarization Based on Latent Semantic Analysis / Yingjie Wang and Jun Ma
• Short Papers III: NLP for Social Media (Industrial Paper Included)
• A Time-Sensitive Model for Microblog Retrieval / Cunhui Shi [and others]
• Feature Analysis in Microblog Retrieval Based on Learning to Rank / Zhongyuan Han [and others]
• Opinion Sentence Extraction and Sentiment Analysis for Chinese Microblogs / Hanxiao Shi, Wei Chen and Xiaojun Li
• Research on the Opinion Mining System for Massive Social Media Data / Lijun Zhao [and others]
• Grammatical Phrase-Level Opinion Target Extraction on Chinese Microblog Messages / Haochen Zhang [and others]
• Simple Yet Effective Method for Entity Linking in Microblog-Genre Text / Qingliang Miao [and others].

This book constitutes the refereed proceedings of the Second CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2013, held in Chongqing, China, during November 2013. The 31 revised full papers presented together with three keynote talks and 13 short papers were carefully reviewed and selected from 203 submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; machine learning for NLP; machine translation and multi-lingual information access; NLP for social media and web mining, knowledge acquisition; NLP for search technology and ads; NLP fundamentals; NLP applications; NLP for social media.

• 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)

• Colligational Patterns in China English: the Case of the Verbs of Communication.- Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset.- Enhancing Chinese Word Embeddings from Relevant Derivative Meanings of Main-Components in Characters.- Association Relationship Analyses of Stylistic Syntactic Structures.- BB-KBQA: BERT-Based Knowledge Base Question Answering.- ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity.- Improving a Syntactic Graph Convolution Network for Sentence Compression.- Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser.- Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching.- Sharing Pre-trained BERT Decoder for a Hybrid Summarization.- Title-Aware Neural News Topic Prediction.- How to Fine-Tune BERT for Text Classification?.- A Comprehensive Verification of Transformer in Text Classification.- Improving Relation Extraction with Relation-Based Gated Convolutional Selector.- Attention-based Gated Convolutional Neural Networks for Distant Supervised Relation Extraction.- Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores.- Leveraging Multi-Head Attention Mechanism to Improve Event Detection.- Short-Text Conceptualization Based on A Co-Ranking Framework via Lexical Knowledge Base.- Denoising Distant Supervision for Relation Extraction with Entropy Weight Method.- Cross-view Adaptation Network for Cross-domain Relation Extraction.- Mongolian-Chinese Unsupervised Neural Machine Translation with Lexical Feature.- Learning Multilingual Sentence Embeddings from Monolingual Corpus.- Chinese Historical Term Translation Pairs Extraction Using Modern Chinese As a Pivot Language.- Construction of an English-Uyghur WordNet Dataset.- Endangered Tujia Language Speech Enhancement Research Based on Improved DCGAN.- Research for Tibetan-Chinese Name Transliteration Based on Multi-granularity.- An End-to-end Method for Data Filtering on Tibetan-Chinese Parallel Corpus via Negative Sampling.- An Attention-Based Approach for Mongolian News Named Entity Recognition.- On the Semi-unsupervised Construction of Auto-Keyphrases Corpus from Large-scale Chinese Automobile E-Commerce Reviews.- Multi-label Aspect Classification on Question-Answering Text with Contextualized Attention-based Neural Network.- A Document Driven Dialogue Generation Model.- Capsule Networks for Chinese Opinion Questions Machine Reading Comprehension.- Table-to-Text Generation via Row-Aware Hierarchical Encoder.- Dropped Pronoun Recovery in Chinese Conversations with Knowledge-enriched Neural Network.- Automatic Judgment Prediction via Legal Reading Comprehension.- Legal Cause Prediction with Inner Descriptions and Outer Hierarchies.- Natural Language Inference based on the LIC Architecture with DCAE Feature.- Neural CTR Prediction for Native Ad.- Depression Detection on Social Media with Reinforcement Learning.- How Important is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks.- Graph Neural Net-based User Simulator.- Pinyin as A Feature of Neural Machine Translation for Chinese Speech Recognition Error Correction.- Neural Gender Prediction from News Browsing Data.- A Top-down Model for Character-level Chinese Dependency Parsing.- A Corpus-free State2Seq User Simulator for Task-oriented Dialogue.- Utterance Alignment in Custom Service by Integer Programming.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering, text classification and summarization, knowledge graph and information extraction, machine translation and multilingual information processing, minority language processing, language resource and evaluation, social computing and sentiment analysis, NLP applications.
(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)

• Word segmentation
• Syntactic analysis and parsing the Web
• Semantics
• Discourse, coreference and pragmatics
• Textual entailment
• Language resources and annotation
• Sentiment analysis, opinion mining and text classification
• Large-scale knowledge acquisition and reasoning
• Text mining, open IE and machine reading of the Web
• Machine translation
• Multilinguality in NLP
• Underresourced languages processing
• NLP applications.

This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers presented were carefully reviewed and selected from 233 submissions. The papers are organized in topical sections on word segmentation; syntactic analysis and parsing the Web; semantics; discourse, coreference and pragmatics; textual entailment; language resources and annotation; sentiment analysis, opinion mining and text classification; large-scale knowledge acquisition and reasoning; text mining, open IE and machine reading of the Web; machine translation; multilinguality in NLP; underresourced languages processing; NLP applications.

• Fundamentals on language computing
• Applications on language computing
• Machine translation and multi-lingual information access
• Machine learning for NLP
• NLP for social media
• NLP for search technology and ads
• Question answering and user interaction
• Web mining and information extraction.

This book constitutes the refereed proceedings of the Third CCF Conference, NLPCC 2014, held in Shenzhen, China, in December 2014. The 35 revised full papers presented together with 8 short papers were carefully reviewed and selected from 110 English submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; machine translation and multi-lingual information access; machine learning for NLP; NLP for social media; NLP for search technology and ads; question answering and user interaction; web mining and information extraction.
(source: Nielsen Book Data)

• Preface : building the future of information processing in East Asia demands facing linguistic and technological reality / Victor H. Mair
• Difficulties in Chinese information processing and ways to their solution / Yongquan Liu
• Intrinsic features of Chinese language as applied in word processing on computers / Zhou Youguang
• Pinyin-to-Chinese character computer conversion systems and the realization of digraphia in China / Yin Binyong
• A synoposis of CPSG : Chinese phrase structure grammar / Qian Feng
• Complex features in the description of Chinese language / Zhiwei Feng
• Enhanced Hanyu pinyin input accuracy with a skewed tone-indication approach / Apollo Wu
• Pinyin for typesetting? / Liqing Zhang
• Formatting a Chinese-English dictionary on computer / John S. Rohsenow and Edward Zawacki
• Chinese zero anaphora in translation : a preliminary system / Keith Vander Linden, Zhihua Long, and Liang Tao
• Some dynamic control methods for improving quality in a phoneme-based formant synthesis system / Wei Zhang and Zhigang Cao
• A computer-based comprehensive analysis of medieval Chinese social and economic history / Robert M. Hartwell
• Chinese text input and corpus linguistics / P.M. Thompson
• Minimum specifications for Japanese and Chinese alphanumeric workstations / J. Marshall Unger
• Is logography a better writing system / Hisao Yamada
• Hangeul and computing / Won L. Chung
• Unicode : a standard international character code for multilingual information processing / James T. Caldwell.

Chinese (Mandarin), Japanese, and Korean are the three major languages used in East Asia. The speakers of these languages constitute one quarter of the world's population. These three languages, especially their written forms, are quite different from all others. CJK each have their special problems in information processing, but all three share the enormous difficulty of how to cope with large character sets. One of the key ideas presented in this book is that the most efficient, inexpensive, and user-friendly means for inputting characters under normal circumstances is through means of the phonetic alphabet.
(source: Nielsen Book Data)

• Fundamental Theory and Methods of Computational Linguistics.- A Joint Model for Graph-based Chinese Dependency Parsing.- Semantic-aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser.- Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning.- Information Retrieval, Dialogue and Question Answering.- Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding.- Combining Impression Feature Representation for Multi-turn Conversational Question Answering.- Text Generation and Summarization.- Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches.- Refining Data for Text Generation.- Plan-CVAE: A Planning-based Conditional Variational Autoencoder for Story Generation.- Knowledge Graph and Information Extraction.- Towards Causal Explanation Detection with Pyramid Salient-Aware Network.- Named Entity Recognition with Context-Aware Dictionary Knowledge.- Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism.- A Practice of Tourism Knowledge Graph Construction based on Heterogeneous Information.- A Novel Joint Framework for Multiple Chinese Events Extraction.- Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction.- Machine Translation and Multilingual Information Processing.- A Mixed Learning Objective for Neural Machine Translation.- Multi-Reward based Reinforcement Learning for Neural Machine Translation.- Minority Language Information Processing.- Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning.- Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection.- Recognition Method of Important Words in Korean Text based on Reinforcement Learning.- Mongolian Questions Classification Based on Multi-Head Attention.- Language Resource and Evaluation.- The Annotation Scheme of English-Chinese Clause Alignment Corpus.- Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool.- LiveQA: A Question Answering Dataset over Sports Live.- Chinese and English Elementary Discourse Units Recognition based on Bi-LSTM-CRF Model.- Social Computing and Sentiment Analysis.- Better Queries for Aspect-Category Sentiment Classification.- Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language.- CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue.- A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer.- NLP Applications.- Compress Polyphone Pronunciation Prediction Model with Shared Labels.- Multi-task Legal Judgement Prediction Combining a Subtask of Seriousness of Charge.- Clickbait Detection with Style-aware Title Modeling and Co-attention.- Konwledge-Enabled Diagnosis Assistant Based on Obstetric EMRs and Knowledge Graph.- Reusable Phrase Extraction Based on Syntactic Parsing.- WAE_RN: Integrating Wasserstein Autoencoder and Relational Network for Text Sequence.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020.The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question answering; text generation and summarization; knowledge graph and information extraction; machine translation and multilingual information processing; minority language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications.
(source: Nielsen Book Data)

• Lexical semantics and ontologies.- Semantics.- Sentiment analysis, opinion mining and text classification.- Machine translation.- Multilinguality in NLP.-Machine learning methods for NLP--.-Knowledge graph and information extraction.-Discourse, coreference and pragmatics.- Information retrieval and question answering.- Social computing.- NLP applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 14th China National Conference on Computational Linguistics, CCL 2014, and of the Third International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2015, held in Guangzhou, China in November 2015. The 34 papers presented were carefully reviewed and selected from 283 submissions. The papers are organized in topical sections on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation; multilinguality in NLP; machine learning methods for NLP; knowledge graph and information extraction; discourse, coreference and pragmatics; information retrieval and question answering; social computing; NLP applications.
(source: Nielsen Book Data)

• Machine Translation and Multilingual Information Processing.- Minority Language Information Processing.- Social Computing and Sentiment Analysis.- Text Generation and Summarization.- Information Retrieval, Dialogue and Question Answering.- Linguistics and Cognitive Science.- Language Resource and Evaluation.- Knowledge Graph and Information Extraction.- NLP Applications.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 20th China National Conference on Computational Linguistics, CCL 2021, held in Hohhot, China, in August 2021.The 31 full presented in this volume were carefully reviewed and selected from 90 submissions. The conference papers covers the following topics such as Machine Translation and Multilingual Information Processing, Minority Language Information Processing, Social Computing and Sentiment Analysis, Text Generation and Summarization, Information Retrieval, Dialogue and Question Answering, Linguistics and Cognitive Science, Language Resource and Evaluation, Knowledge Graph and Information Extraction, and NLP Applications.
(source: Nielsen Book Data)

• Fundamental theory and methods of computational linguistics.- Machine translation and multilingual information processing.- Knowledge graph and information extraction.- Language resource and evaluation.- Information retrieval and question answering.- Text classification and summarization.- Social computing and sentiment analysis.- NLP applications
• Minority language information processing.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. The 39 full papers presented in this volume were carefully reviewed and selected from 272 submissions. They were organized in topical sections named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing.
(source: Nielsen Book Data)

• Semantics
• Improving Chinese Semantic Role Labeling with English Proposition Bank
• Transition-based Chinese Semantic Dependency Graph Parsing
• Improved Graph-based Dependency Parsing via Hierarchical LSTM Networks
• Machine Translation
• Error Analysis of English-Chinese Machine Translation
• I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation
• Keeping the Meanings of the Source Text: An introduction to Yes Translate
• Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences
• Using Collaborative Training Method to build Vietnamese Dependency Treebank
• Multilinguality in NLP
• A Novel Approach to Improve the Mongolian Language Model using Intermediate Characters
• Improved Joint Kazakh POS Tagging and Chunking
• Coping with problems of Unicoded Traditional Mongolian
• Tibetan Person Attributes Extraction Based on BP Neural Network
• Semi-supervised Learning for Mongolian Morphological Segmentation
• Investigation and use of methods for defining the extends of similarity of Kazakh language sentences
• Knowledge graph and information extraction
• Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM
• Definition Extraction with LSTM Recurrent Neural Networks
• Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks
• Chinese Hedge Scope Detection Based on Structure and Semantic Information
• Combining Event-level and Cross-event Semantic Information for Event-Oriented Relation Classification by SCNN
• Linguistic resource annotation and evaluation
• The Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo
• The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing
• Pages Information retrieval and question answering
• Topic-Sentiment Mining from Multiple Text Collections
• A New Focus Strategy for Efficient Dialog Management
• Text classification and summarization
• Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM
• Multilingual Multi-document Summarization with Enhanced hLDA Features
• News Abridgement Algorithm Based on Word Alignment and Syntactic Parsing
• A Hierarchical LSTM Model for Joint Tasks
• Enhancing Neural Disfluency Detection with Hand-crafted Features
• Social computing and sentiment analysis
• Active Learning for Age Regression in Social Media
• A Novel Approach for Discovering Local Community Structure in Networks
• Identifying Suspected Cybermob on Tieba
• Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations
• Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data
• NLP Applications
• A Bootstrapping Approach to Symptom Entity Extraction on Chinese Electronic Medical Records
• Automatic Naming of Speakers in Video via Name-Face Mapping
• Image Tag Recommendation via Deep Cross-modal Correlation Mining
• Is Local Window Essential for Neural Network based Chinese Word Segmentation.

This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.

• Trending Topics (Explainability, Ethics, Privacy, Multimodal NLP).- Poster.- Explainable AI Workshop.- Student Workshop.- Evaluation Workshop.
• (source: Nielsen Book Data)

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020.The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.
(source: Nielsen Book Data)