Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV, Ma Huimin, Wang Liang, Zhang Changshui
Описание: The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions.
Описание: The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions.
Описание: The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions.
Описание: The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions.
Описание: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.
Описание: 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-Opini
Описание: 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 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 Pai
Описание: The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions.
Описание: The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions.
Описание: The LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021.The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics;
Описание: This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book.
Описание: 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. minority language information processing;
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