Differences in Document Retrieval and Entity Retrieval: Finding Support Documents with a Learning to Rank Approach
Qi Lecky Li, Daqing He · 2011
retrieval finds the relevant results for a user's information needs at a finer unit called ―entity‖. In the entity retrieval, people usually work in this way: find a small set of support documents which contain answer entities, and then further detect the answer entities in this set. In most cases, people treat the support document findings as the conventional document retrieval problem. That is, support documents are relevant documents. In this work, we indicate support documents and relevant documents, although similar, have important differences. Further, we propose a learning to rank approach to find support documents. The results show that the learning to rank method runs significantly better than the baseline systems which treat the support document finding as a conventional document retrieval problem.