Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning

Teresa Botschen, Daniil Sorokin, Iryna Gurevych


Abstract
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role. We explore the idea of using event knowledge about prototypical situations from FrameNet and fact knowledge about concrete entities from Wikidata to solve the task. We find that both resources can contribute to an improvement over the non-enriched approach and point out two persisting challenges: first, integration of many annotations of the same type, and second, fusion of complementary annotations. After our explorations, we question the key role of external world knowledge with respect to the argumentative reasoning task and rather point towards a logic-based analysis of the chain of reasoning.
Anthology ID:
W18-5211
Volume:
Proceedings of the 5th Workshop on Argument Mining
Month:
November
Year:
2018
Address:
Brussels, Belgium
Editors:
Noam Slonim, Ranit Aharonov
Venue:
ArgMining
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
90–96
Language:
URL:
https://aclanthology.org/W18-5211
DOI:
10.18653/v1/W18-5211
Bibkey:
Cite (ACL):
Teresa Botschen, Daniil Sorokin, and Iryna Gurevych. 2018. Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. In Proceedings of the 5th Workshop on Argument Mining, pages 90–96, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning (Botschen et al., ArgMining 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-5211.pdf
Code
 UKPLab/emnlp2018-argmin-commonsense-knowledge
Data
FrameNetSNLI