tailieunhanh - Báo cáo khoa học: "Automatic sense prediction for implicit discourse relations in text"

We present a series of experiments on automatically identifying the sense of implicit discourse relations, . relations that are not marked with a discourse connective such as “but” or “because”. We work with a corpus of implicit relations present in newspaper text and report results on a test set that is representative of the naturally occurring distribution of senses. We use several linguistically informed features, including polarity tags, Levin verb classes, length of verb phrases, modality, context, and lexical features. .