A Compare-Aggregate Model with Latent Clustering for Answer Selection

30 May 2019Seunghyun YoonFranck DernoncourtDoo Soon KimTrung BuiKyomin Jung

In this paper, we propose a novel method for a sentence-level answer-selection task that is one of the fundamental problems in natural language processing. First, we explore the effect of additional information by adopting a pretrained language model to compute the vector representation of the input text and by applying transfer learning from a large-scale corpus... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Question Answering TrecQA Comp-Clip + LM + LC MAP 0.868 # 1
Question Answering TrecQA Comp-Clip + LM + LC MRR 0.928 # 1
Question Answering WikiQA Comp-Clip + LM + LC MAP 0.764 # 1
Question Answering WikiQA Comp-Clip + LM + LC MRR 0.784 # 1