论文信息 - Consumer Health Information System

Consumer Health Information System

World Wide Web acts as one of the major sources of information for health related questions. However, often, there are multiple conflicting answers to a single question and it is hard to come up with “a single best correct answer”. Therefore, it is highly desirable to identify conflicting perspectives about a particular question (or topic). In this paper, we have described our participation in Consumer Health Information System(CHIS) task at FIRE 2016. There were two sub-tasks in this contest. The first sub-task deals with identifying if a particular answer is relevant to a given question. The second sub-task deals with detecting if a particular answer agrees or refuses the claim posed in a given question. We pose both these tasks as supervised pair classification tasks. We report our results for various document representations and classification algorithms.

Vasudeva Varma | Pattisapu Nikhil Priyatam | Raksha Sanjay Jalan | Vasudeva Varma | R. Jalan

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