Paper: Multi-Perspective Question Answering Using The OpQA Corpus

ACL ID H05-1116
Title Multi-Perspective Question Answering Using The OpQA Corpus
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

We investigate techniques to support the answering of opinion-based questions. We first present the OpQA corpus of opin- ion questions and answers. Using the cor- pus, we compare and contrast the proper- ties of fact and opinion questions and an- swers. Based on the disparate characteris- tics of opinion vs. fact answers, we argue that traditional fact-based QA approaches may have difficulty in an MPQA setting without modification. As an initial step towards the development of MPQA sys- tems, we investigate the use of machine learning and rule-based subjectivity and opinion source filters and show that they can be used to guide MPQA systems.