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Linguistic kernels for answer re-ranking in question answering systems |
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| Authors: | Alessandro Moschitti Silvia Quarteroni |
| Institution: | University of Trento, Via Sommarive 14, 38050 Povo, Trento, Italy |
| Abstract: | Answer selection is the most complex phase of a question answering (QA) system. To solve this task, typical approaches use unsupervised methods such as computing the similarity between query and answer, optionally exploiting advanced syntactic, semantic or logic representations. |
| Keywords: | Question answering Information Retrieval Kernel methods Predicate argument structures |
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