Chinese Computational Linguistics
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  • Broschiertes Buch

This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering, text classification and summarization, knowledge graph and information extraction, machine translation and multilingual information processing,…mehr

Produktbeschreibung
This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering, text classification and summarization, knowledge graph and information extraction, machine translation and multilingual information processing, minority language processing, language resource and evaluation, social computing and sentiment analysis, NLP applications.

  • Produktdetails
  • Lecture Notes in Computer Science 11856
  • Verlag: Springer / Springer International Publishing / Springer, Berlin
  • Artikelnr. des Verlages: 978-3-030-32380-6
  • 1st ed. 2019
  • Erscheinungstermin: 15. Oktober 2019
  • Englisch
  • Abmessung: 235mm x 155mm x 39mm
  • Gewicht: 1095g
  • ISBN-13: 9783030323806
  • ISBN-10: 3030323803
  • Artikelnr.: 57593186
Inhaltsangabe
Colligational Patterns in China English: the Case of the Verbs of Communication.- Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset.- Enhancing Chinese Word Embeddings from Relevant Derivative Meanings of Main-Components in Characters.- Association Relationship Analyses of Stylistic Syntactic Structures.- BB-KBQA: BERT-Based Knowledge Base Question Answering.- ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity.- Improving a Syntactic Graph Convolution Network for Sentence Compression.- Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser.- Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching.- Sharing Pre-trained BERT Decoder for a Hybrid Summarization.- Title-Aware Neural News Topic Prediction.- How to Fine-Tune BERT for Text Classification?.- A Comprehensive Verification of Transformer in Text Classification.- Improving Relation Extraction with Relation-Based Gated Convolutional Selector.- Attention-based Gated Convolutional Neural Networks for Distant Supervised Relation Extraction.- Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores.- Leveraging Multi-Head Attention Mechanism to Improve Event Detection.- Short-Text Conceptualization Based on A Co-Ranking Framework via Lexical Knowledge Base.- Denoising Distant Supervision for Relation Extraction with Entropy Weight Method.- Cross-view Adaptation Network for Cross-domain Relation Extraction.- Mongolian-Chinese Unsupervised Neural Machine Translation with Lexical Feature.- Learning Multilingual Sentence Embeddings from Monolingual Corpus.- Chinese Historical Term Translation Pairs Extraction Using Modern Chinese As a Pivot Language.- Construction of an English-Uyghur WordNet Dataset.- Endangered Tujia Language Speech Enhancement Research Based on Improved DCGAN.- Research for Tibetan-Chinese Name Transliteration