@InProceedings{andy-rwebangira-sekine:2016:OKBQA2016,
  author    = {Andy, Anietie  and  Rwebangira, Mugizi  and  Sekine, Satoshi},
  title     = {An Entity-Based approach to Answering Recurrent and Non-Recurrent Questions with Past Answers},
  booktitle = {Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {39--43},
  abstract  = {An Entity-based approach to Answering recurrent and non-recurrent
	questions with Past Answers
	                              Abstract
	Community question answering (CQA) systems such as Yahoo! Answers allow
	registered-users to ask and answer questions in various question categories.
	However, a significant percentage of asked questions in Yahoo! Answers are
	unanswered. In this paper, we propose to reduce this percentage by reusing
	answers to past resolved questions from the site. Specifically, we propose
	to satisfy unanswered questions in entity rich categories by searching for and
	reusing the best answers to past resolved questions with shared needs. For
	unanswered questions that do not have a past resolved question with a shared
	need, we propose to use the best answer to a past resolved question with
	similar needs. Our experiments on a Yahoo! Answers dataset shows that our
	approach retrieves most of the past resolved questions that have shared and
	similar needs to unanswered questions.},
  url       = {http://aclweb.org/anthology/W16-4405}
}