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

Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto


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.
Anthology ID:
W19-2609
Volume:
Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venues:
NAACL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
62–71
Language:
URL:
https://aclanthology.org/W19-2609
DOI:
10.18653/v1/W19-2609
Bibkey:
Cite (ACL):
Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, and Yuji Matsumoto. 2019. Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text. In Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications, pages 62–71, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text (Tamari et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2609.pdf
Code
 ronentk/TextLabs