Natural Language Processing and Chinese Computing (Record no. 178492)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 07472nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-88483-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125504.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211009s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030884833 |
| -- | 978-3-030-88483-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-88483-3 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Natural Language Processing and Chinese Computing |
| Medium | [electronic resource] : |
| Remainder of title | 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part II / |
| Statement of responsibility, etc | edited by Lu Wang, Yansong Feng, Yu Hong, Ruifang He. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXXVI, 630 p. 330 illus., 146 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume number/sequential designation | 13029 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 -- 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Natural language processing (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information storage and retrieval systems. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Natural Language Processing (NLP). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information Storage and Retrieval. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Lu. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Feng, Yansong. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hong, Yu. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | He, Ruifang. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030884826 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030884840 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| -- | 2945-9141 ; |
| Volume number/sequential designation | 13029 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-88483-3">https://doi.org/10.1007/978-3-030-88483-3</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
No items available.