Identifying the focus of negation using discourse structure

Zahra Sarabi, Eduardo Blanco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents experimental results showing that discourse structure is a useful element in identifying the focus of negation. We define features extracted from RST-like discourse trees. We experiment with the largest publicly available corpus and an off-the-shelf discourse parser. Results show that discourse structure is especially beneficial when predicting the focus of negation in long sentences.

Original languageEnglish (US)
Title of host publicationProceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
EditorsRoman Bartak, Keith Brawner
PublisherThe AAAI Press
Pages448-451
Number of pages4
ISBN (Electronic)9781577358053
StatePublished - 2019
Externally publishedYes
Event32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019 - Sarasota, United States
Duration: May 19 2019May 22 2019

Publication series

NameProceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019

Conference

Conference32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
Country/TerritoryUnited States
CitySarasota
Period5/19/195/22/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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