Hypotheses selection criteria in a reranking framework for spoken language understanding
EMNLP, pp. 1104-1115, 2011.
Reranking models have been successfully applied to many tasks of Natural Language Processing. However, there are two aspects of this approach that need a deeper investigation: (i) Assessment of hypotheses generated for reranking at classification phase: baseline models generate a list of hypotheses and these are used for reranking without...More
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