Title

Talla At SemEval-2017 Task 3: Identifying Similar Questions through Paraphrase Detection

Abstract

This paper describes our approach to the SemEval-2017 shared task of determining question-question similarity in a community question-answering setting (Task 3B). We extracted both syntactic and semantic similarity features between candidate questions, performed pairwise-preference learning to optimize for ranking order, and then trained a random forest classifier to predict whether the candidate questions were paraphrases of each other. This approach achieved a MAP of 45.7% out of max achievable 67.0% on the test set.

Meeting Name

11th International Workshop on Semantic Evaluation, SemEval@ACL 2017 (2017: Aug. 3-4, Vancouver, Canada)

Department(s)

Psychological Science

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

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