Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval

@inproceedings{Yang2016BeyondFQ,
  title={Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval},
  author={Liu Yang and Qingyao Ai and Damiano Spina and Ruey-Cheng Chen and Liang Pang and W. Bruce Croft and Jiafeng Guo and Falk Scholer},
  booktitle={ECIR},
  year={2016}
}
Retrieving finer grained text units such as passages or sentences as answers for non-factoid Web queries is becoming increasingly important for applications such as mobile Web search. In this work, we introduce the answer sentence retrieval task for non-factoid Web queries, and investigate how this task can be effectively solved under a learning to rank framework. We design two types of features, namely semantic and context features, beyond traditional text matching features. We compare… CONTINUE READING
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