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Talla At SemEval-2017 Task 3: Identifying Similar Questions through Paraphrase Detection
Proceedings of the 11th International Workshop on Semantic Evaluation (2017, Vancouver, Canada)
  • Byron Galbraith
  • Bhanu Pratap
  • Daniel Burton Shank, Missouri University of Science and Technology
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
Publication Date
8-1-2017
Disciplines
Citation Information
Byron Galbraith, Bhanu Pratap and Daniel Burton Shank. "Talla At SemEval-2017 Task 3: Identifying Similar Questions through Paraphrase Detection" Proceedings of the 11th International Workshop on Semantic Evaluation (2017, Vancouver, Canada) (2017) p. 375 - 379
Available at: http://works.bepress.com/daniel-shank/4/