ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task

2017-08-01 · SEMEVAL 2017 8 · Guoshun Wu, Yixuan Sheng, Man Lan, Yuanbin Wu

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.

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Tasks

Community Question Answering Question Answering Question Similarity Semantic Textual Similarity

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BIG-bench Machine Learning Feature Engineering General Classification Lemmatization+2

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Community Question Answering Question Answering Question Similarity Retrieval+1

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Feature Engineering Language Modeling Language Modelling Sentence+1

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