From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion

Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim


Abstract
When debating a controversial topic, it is often desirable to expand the boundaries of discussion. For example, we may consider the pros and cons of possible alternatives to the debate topic, make generalizations, or give specific examples. We introduce the task of Debate Topic Expansion - finding such related topics for a given debate topic, along with a novel annotated dataset for the task. We focus on relations between Wikipedia concepts, and show that they differ from well-studied lexical-semantic relations such as hypernyms, hyponyms and antonyms. We present algorithms for finding both consistent and contrastive expansions and demonstrate their effectiveness empirically. We suggest that debate topic expansion may have various use cases in argumentation mining.
Anthology ID:
P19-1094
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
977–990
Language:
URL:
https://aclanthology.org/P19-1094
DOI:
10.18653/v1/P19-1094
Bibkey:
Cite (ACL):
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, and Noam Slonim. 2019. From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 977–990, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion (Bar-Haim et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-1094.pdf
Video:
 https://vimeo.com/384469239