IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source

Sofia Reznikova, Leon Derczynski

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018)
PublisherAssociation for Computational Linguistics
Publication date2018
Publication statusPublished - 2018
EventThe 12th International Workshop on Semantic Evaluation - New Orleans, United States
Duration: 5 Jun 20186 Jun 2018
Conference number: 12


WorkshopThe 12th International Workshop on Semantic Evaluation
Country/TerritoryUnited States
CityNew Orleans

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