rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Natural Language Processing and Chinese Computing
    sub title: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part I
  name:
    name part: Wang, Lu.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Feng, Yansong.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hong, Yu.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: He, Ruifang.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXXVI, 840 pages 330 illustrations, 200 illustrations in color.)
  abstract: 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.
  table of contents: 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…
  note: edited by Lu Wang, Yansong Feng, Yu Hong, Ruifang He.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Storage and Retrieval
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 13028
  identifier: 9783030884802
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 211011
    record change date: 20240805190645.0
    record identifier: in00004376355