Discourse relations and conjoined VPs: Automated sense recognition

Valentina Pyatkin, Bonnie Webber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Sense classification of discourse relations is a sub-task of shallow discourse parsing. Discourse relations can occur both across sentences (inter-sentential) and within sentences (intra-sentential), and more than one discourse relation can hold between the same units. Using a newly available corpus of discourse-annotated intra-sentential conjoined verb phrases, we demonstrate a sequential classification system for their multi-label sense classification. We assess the importance of each feature used in the classification, the feature scope, and what is lost in moving from gold standard manual parses to the output of an off-the-shelf parser.

Original languageEnglish
Title of host publication15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Student Research Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages33-42
Number of pages10
ISBN (Electronic)9781510838604
DOIs
StatePublished - 2017
Externally publishedYes
EventStudent Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
Duration: 3 Apr 20177 Apr 2017

Publication series

Name15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Student Research Workshop

Conference

ConferenceStudent Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
Country/TerritorySpain
CityValencia
Period3/04/177/04/17

Bibliographical note

Publisher Copyright:
© 2017 Association for Computational Linguistics.

Funding

Acknowledgments. This research was supported by the National Science Foundation of China (Grant No. 91223201, 50825504), the United Fund of Natural Science Foundation of China and Guangdong province (Grant No. U0934004), Project GDUPS (2010), and the Fundamental Research Funds for the Central Universities (2012ZP0004). This support is greatly acknowledged.

FundersFunder number
National Natural Science Foundation of China91223201, 50825504
Natural Science Foundation of Guangdong ProvinceU0934004
Fundamental Research Funds for the Central Universities2012ZP0004

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