ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task
Guoshun
Wu
author
Yixuan
Sheng
author
Man
Lan
author
Yuanbin
Wu
author
2017-aug
text
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Association for Computational Linguistics
Vancouver, Canada
conference publication
This paper describes the systems we submitted to the task 3 (Community Question Answering) in SemEval 2017 which contains three subtasks on English corpora, i.e., subtask A: Question-Comment Similarity, subtask B: Question-Question Similarity, and subtask C: Question-External Comment Similarity. For subtask A, we combined two different methods to represent question-comment pair, i.e., supervised model using traditional features and Convolutional Neural Network. For subtask B, we utilized the information of snippets returned from Search Engine with question subject as query. For subtask C, we ranked the comments by multiplying the probability of the pair related question comment being Good by the reciprocal rank of the related question.
wu-etal-2017-ecnu
10.18653/v1/S17-2060
https://www.aclweb.org/anthology/S17-2060
2017-aug
365
369