Improving implicit discourse relation recognition through feature set optimization
Abstract
We provide a systematic study of previously proposed features for implicit discourse relation identification, identifying new feature combinations that optimize F1-score. The resulting classifiers achieve the best F1-scores to date for the four top-level discourse relation classes of the Penn Discourse Tree BankSimilar works
This paper was published in CiteSeerX.
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