Skip to main navigation Skip to search Skip to main content

SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition

  • Wenqiang Lei*
  • , Xuancong Wang*
  • , Meichun Liu
  • , Ilija Ilievski
  • , Xiangnan He
  • , Min-Yen Kan
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

31 Downloads (CityUHK Scholars)

Abstract

Capturing the semantic interaction of pairs of words across arguments and proper argument representation are both crucial issues in implicit discourse relation recognition. The current state-of-the-art represents arguments as distributional vectors that are computed via bi-directional Long Short-Term Memory networks (BiLSTMs), known to have significant model complexity. In contrast, we demonstrate that word-weighted averaging can encode argument representation which can be incorporated with word pair information efficiently. By saving an order of magnitude in parameters and eschewing the recurrent structure, our proposed model achieves equivalent performance, but trains seven times faster.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
EditorsCarles Sierra
PublisherInternational Joint Conferences on Artificial Intelligence
Pages4026-4032
ISBN (Print)9780999241103
DOIs
Publication statusPublished - Aug 2017
Event26th International Joint Conference on Artificial Intelligence (IJCAI 2017) - Melbourne, Australia
Duration: 19 Aug 201725 Aug 2017
https://www.ijcai.org/proceedings/2017/

Conference

Conference26th International Joint Conference on Artificial Intelligence (IJCAI 2017)
PlaceAustralia
CityMelbourne
Period19/08/1725/08/17
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Fingerprint

Dive into the research topics of 'SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition'. Together they form a unique fingerprint.

Cite this