IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source
- Sofia Reznikova,
- Innopolis University,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 1068-1072Publication milestones
- Published - 2018
Publication status
Published - 2018
Publisher
Association for Computational Linguistics, United StatesPublication IDs
- Scopus: 85122335796
Host publication title
Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018)Abstract
This paper describes the IUCM entry at SemEval-2018 Task 11, on machine comprehension using commonsense knowledge. First, clustering and topic modeling are used to divide given texts into topics. Then, during the answering phase, other texts of the same topic are retrieved and used as commonsense knowledge. Finally, the answer is selected. While clustering itself shows good results, finding an answer proves to be more challenging. This paper reports the results of system evaluation and suggests potential improvements.
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Related Event
Title
The 12th International Workshop on Semantic Evaluation
Event type
WorkshopDegree of recognition
International eventDate
05/06/2018 - 06/06/2018Location
New OrleansUnited States