Skip to main content
SpringerLink
Log in

Computational Linguistics

16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Le-Minh Nguyen

    1. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Xuan-Hieu Phan

    1. University of Engineering and Technology, Hanoi, Vietnam

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Kôiti Hasida

    1. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Satoshi Tojo

    1. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1215)

Included in the following conference series:

Conference proceedings info: PACLING 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (42 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Text Summarization

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Submodular Approach for Reference Recommendation

      • Thanh-Binh Kieu, Son Bao Pham, Xuan-Hieu Phan, Massimo Piccardi
      Pages 3-14

    3. Split First and Then Rephrase: Hierarchical Generation for Sentence Simplification

      • Mengru Wang, Hiroaki Ozaki, Yuta Koreeda, Kohsuke Yanai
      Pages 15-27

    4. Abstractive Text Summarization Using LSTMs with Rich Features

      • Viet Nguyen Quoc, Huong Le Thanh, Tuan Luu Minh
      Pages 28-40

  3. Relation and Word Embedding

    1. Front Matter

      Pages 41-41
      Download chapter PDF

    2. SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders

      • Hiroaki Tsuyuki, Tetsuji Ogawa, Tetsunori Kobayashi, Yoshihiko Hayashi
      Pages 43-55

    3. Learning to Compose Relational Embeddings in Knowledge Graphs

      • Wenye Chen, Huda Hakami, Danushka Bollegala
      Pages 56-66

    4. Context-Guided Self-supervised Relation Embeddings

      • Huda Hakami, Danushka Bollegala
      Pages 67-78

    5. Evaluation of Embedded Vectors for Lexemes and Synsets Toward Expansion of Japanese WordNet

      • Daiki Ko, Koichi Takeuchi
      Pages 79-87

    6. Neural Rasch Model: How Do Word Embeddings Adjust Word Difficulty?

      • Yo Ehara
      Pages 88-96

  4. Machine Translation

    1. Front Matter

      Pages 97-97
      Download chapter PDF

    2. Dynamic Fusion: Attentional Language Model for Neural Machine Translation

      • Michiki Kurosawa, Mamoru Komachi
      Pages 99-111

    3. Improving Context-Aware Neural Machine Translation with Target-Side Context

      • Hayahide Yamagishi, Mamoru Komachi
      Pages 112-122

    4. Learning to Evaluate Neural Language Models

      • James O’Neill, Danushka Bollegala
      Pages 123-133

    5. Recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms

      • Luyl-Da Quach, Nghia Duong-Trung, Anh-Van Vu, Chi-Ngon Nguyen
      Pages 134-141

  5. Text Classification

    1. Front Matter

      Pages 143-143
      Download chapter PDF

    2. Document Classification by Word Embeddings of BERT

      • Hirotaka Tanaka, Hiroyuki Shinnou, Rui Cao, Jing Bai, Wen Ma
      Pages 145-154

    3. Deep Domain Adaptation for Low-Resource Cross-Lingual Text Classification Tasks

      • Guan-Yuan Chen, Von-Wun Soo
      Pages 155-168

    4. Multi-task Learning for Aspect and Polarity Recognition on Vietnamese Datasets

      • Dang Van Thin, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Hoang-Tu Nguyen
      Pages 169-180
Back to top

Other volumes

  1. Computational Linguistics

Keywords

About this book

This book constitutes the refereed proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, held in Hanoi, Vietnam, in October 2019.

 The 28 full papers and 14 short papers presented were carefully reviewed and selected from 70 submissions. The papers are organized in topical sections on text summarization; relation and word embedding; machine translation; text classification; web analyzing; question and answering, dialog analyzing; speech and emotion analyzing; parsing and segmentation; information extraction; and grammar error and plagiarism detection.

Editors and Affiliations

  • Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Le-Minh Nguyen, Satoshi Tojo

  • University of Engineering and Technology, Hanoi, Vietnam

    Xuan-Hieu Phan

  • Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kôiti Hasida

Bibliographic Information

  • Book Title: Computational Linguistics

  • Book Subtitle: 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers

  • Editors: Le-Minh Nguyen, Xuan-Hieu Phan, Kôiti Hasida, Satoshi Tojo

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-15-6168-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2020

  • Softcover ISBN: 978-981-15-6167-2Published: 02 July 2020

  • eBook ISBN: 978-981-15-6168-9Published: 01 July 2020

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIV, 524

  • Number of Illustrations: 273 b/w illustrations, 110 illustrations in colour

  • Topics: Natural Language Processing (NLP), Database Management, Machine Learning

Publish with us

Policies and ethics

Back to top

Search

Navigation