Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text

Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto

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

Abstract

Understanding procedural text requires tracking entities, actions and effects as the narrative unfolds. We focus on the challenging real-world problem of action-graph extraction from materials science papers, where language is highly specialized and data annotation is expensive and scarce. We propose a novel approach, Text2Quest, where procedural text is interpreted as instructions for an interactive game. A learning agent completes the game by executing the procedure correctly in a text-based simulated lab environment. The framework can complement existing approaches and enables richer forms of learning compared to static texts. We discuss potential limitations and advantages of the approach, and release a prototype proof-of-concept, hoping to encourage research in this direction.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications
Place of PublicationMinneapolis, Minnesota
PublisherAssociation for Computational Linguistics
Pages62-71
Number of pages10
DOIs
StatePublished - 1 Jun 2019
EventWorkshop on Extracting Structured Knowledge from Scientific Publications: NAACL HLT 2019 - Minneapolis, United States
Duration: 6 Jun 2019 → …

Conference

ConferenceWorkshop on Extracting Structured Knowledge from Scientific Publications
Country/TerritoryUnited States
CityMinneapolis
Period6/06/19 → …

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