Modality and Negation in Event Extraction

Sander Bijl de Vroe, Liane Guillou, Miloš Stanojević, Nick McKenna, Mark Steedman

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

Abstract / Description of output

Language provides speakers with a rich system of modality for expressing thoughts about events, without being committed to their actual occurrence. Modality is commonly used in the political news domain, where both actual and possible courses of events are discussed. NLP systems struggle with these semantic phenomena, often incorrectly extracting events which did not happen, which can lead to issues in downstream applications. We present an open-domain, lexicon-based event extraction system that captures various types of modality. This information is valuable for Question Answering, Knowledge Graph construction and Fact-checking tasks, and our evaluation shows that the system is sufficiently strong to be used in downstream applications.
Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)
Place of PublicationOnline
PublisherAssociation for Computational Linguistics
Pages31-42
Number of pages12
ISBN (Electronic)978-1-954085-79-4
DOIs
Publication statusPublished - 5 Aug 2021
Event4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - Online
Duration: 5 Aug 20216 Aug 2021
https://emw.ku.edu.tr/case-2021/

Conference

Conference4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
Abbreviated titleCASE 2021
Period5/08/216/08/21
Internet address

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