SemEval-2019 Task 2: Unsupervised Lexical Frame Induction

Behrang QasemiZadeh, Miriam R. L. Petruck, Regina Stodden, Laura Kallmeyer, Marie Candito

Abstract
This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019. Given a set of prespecified syntactic forms in context, the task requires that verbs and their arguments be clustered to resemble semantic frame structures. Results are useful in identifying polysemous words, i.e., those whose frame structures are not easily distinguished, as well as discerning semantic relations of the arguments. Evaluation of unsupervised frame induction methods fell into two tracks: Task A) Verb Clustering based on FrameNet 1.7; and B) Argument Clustering, with B.1) based on FrameNet’s core frame elements, and B.2) on VerbNet 3.2 semantic roles. The shared task attracted nine teams, of whom three reported promising results. This paper describes the task and its data, reports on methods and resources that these systems used, and offers a comparison to human annotation.
Anthology ID:
S19-2003
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Editors:
Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
16–30
Language:
URL:
https://aclanthology.org/S19-2003
DOI:
10.18653/v1/S19-2003
Bibkey:
Cite (ACL):
Behrang QasemiZadeh, Miriam R. L. Petruck, Regina Stodden, Laura Kallmeyer, and Marie Candito. 2019. SemEval-2019 Task 2: Unsupervised Lexical Frame Induction. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 16–30, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
SemEval-2019 Task 2: Unsupervised Lexical Frame Induction (QasemiZadeh et al., SemEval 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/S19-2003.pdf
PDF Search