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001440328 0247_ $$a10.1007/978-3-030-88483-3$$2doi
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001440328 050_4 $$aQA76.9.N38$$bN56 2021
001440328 08204 $$a006.3/5$$223
001440328 1112_ $$aNLPCC (Conference)$$n(10th :$$d2021 :$$cQingdao, China)
001440328 24510 $$aNatural language processing and Chinese computing :$$b10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021 : proceedings.$$nPart II /$$cLu Wang, Yansong Feng, Yu Hong, Ruifang He (eds.).
001440328 24630 $$aNLPCC 2021
001440328 264_1 $$aCham :$$bSpringer,$$c[2021]
001440328 264_4 $$c©2021
001440328 300__ $$a1 online resource :$$billustrations (some color)
001440328 336__ $$atext$$btxt$$2rdacontent
001440328 337__ $$acomputer$$bc$$2rdamedia
001440328 338__ $$aonline resource$$bcr$$2rdacarrier
001440328 347__ $$atext file
001440328 347__ $$bPDF
001440328 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13029
001440328 500__ $$aInternational conference proceedings.
001440328 500__ $$aIncludes author index.
001440328 5050_ $$aPosters -- 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 -- TKB²ert: 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.
001440328 506__ $$aAccess limited to authorized users.
001440328 520__ $$aThis two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
001440328 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 18, 2021).
001440328 650_0 $$aNatural language processing (Computer science)$$vCongresses.
001440328 650_0 $$aChinese language$$xData processing$$vCongresses.
001440328 650_6 $$aTraitement automatique des langues naturelles$$vCongrès.
001440328 650_6 $$aChinois (Langue)$$xInformatique$$vCongrès.
001440328 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440328 655_7 $$aConference papers and proceedings.$$2lcgft
001440328 655_7 $$aActes de congrès.$$2rvmgf
001440328 655_0 $$aElectronic books.
001440328 7001_ $$aWang, Lu,$$eeditor.
001440328 7001_ $$aFeng, Yansong,$$eeditor.
001440328 7001_ $$aHong, Yu,$$eeditor.
001440328 7001_ $$aHe, Ruifang,$$eeditor.
001440328 77608 $$iPrint version:$$aNLPCC (Conference) (10th : 2021 : Qingdao, China).$$tNatural language processing and Chinese computing.$$dCham : Springer, [2021]$$z3030884791$$z9783030884796$$w(OCoLC)1266895829
001440328 830_0 $$aLecture notes in computer science ;$$v13029.
001440328 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001440328 852__ $$bebk
001440328 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88483-3$$zOnline Access$$91397441.1
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