JU_KS_Group@FIRE 2016: Consumer Health Information Search
نویسندگان
چکیده
In this paper, we describe the methodology used and the results obtained by us for completing the tasks given under the shared task on Consumer Health Information Search (CHIS) collocated with the Forum for Information Retrieval Evaluation (FIRE) 2016, ISI Kolkata. The shared task consists of two sub-tasks – (1) task1: given a query and a document/set of documents associated with that query, the task is to classify the sentences in the document as relevant to the query or not and (2) task 2: the relevant sentences need to be further classified as supporting the claim made in the query, or opposing the claim made in the query. We have participated in both the sub-tasks. The percentage accuracy obtained by our developed system for task1 was 73.39 which is third highest among the 9 teams participated in the shared task.
منابع مشابه
Team DA_IICT at Consumer Health Information Search @FIRE2016
Consumer Health Information Search task focuses on retrieval of relevant multiple perspectives for complex health search queries. This task addresses the queries which do not have a single definitive answer but having diverse point of views available. This paper reports the result of standard retrieval methods for identifying the aspects of retrieval result towards the query.
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