%{search_type} search results

• 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)

• 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)

• 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)

• 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)

• Conversational Bot/QA/IR
• Knowledge graph/IE
• Machine Learning for NLP
• Machine Translation
• NLP Applications.

This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018. The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.

• Semantics.- Machine Translation.- Knowledge Graph and Information Extraction.- Linguistic Resource Annotation and Evaluation.- Information Retrieval and Question Answering.- Text Classification and Summarization.- Social Computing and Sentiment Analysis.- NLP Applications.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018. The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; 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.
(source: Nielsen Book Data)

• Oral-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.
• (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)