Learning Task Experiments in the TREC 2011 Legal Track
نویسنده
چکیده
The Learning Task of the TREC 2011 Legal Track investigated the effectiveness of e-Discovery search techniques at selecting training examples and learning from them to estimate the probability of relevance of every document in a collection. The task specified 3 test topics, each of which included a one-sentence request for documents to produce from a target collection of 685,592 e-mail messages and attachments. In this paper, we describe the experimental approaches used and report the scores that each achieved.
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تاریخ انتشار 2011