カンファレンス (国際) Towards Automatic Evaluation of Reused Answers in Community Question Answering

Hsin-Wen Liu (Waseda univ.), Sumio Fujita, Tetsuya Sakai (Waseda univ.)

The 15th Asia Information Retrieval Societies Conference (AIRS 2019)


We consider the problem of reused answer retrieval for community question answering (CQA): given a question q, retrieve answers aji posted in response to other questions qi(̸= q), where aji serves as an answer to q. While previous work evaluated this task by manually annotating the relationship between q and aji , this approach does not scale for large-scale CQA sites. We therefore explore an automatic evaluation method for reused answer retrieval, which computes nDCG by de ning the gain value of each retrieved answer as a ROUGE score that treats the original answers to q as gold summaries. Our answer retrieval experiment suggests that effective reused answer retrieval systems may not be the same as effective gold answer retrieval systems. We provide case studies to discuss the bene fits and limitations of our approach.