Learning Connective-based Word Representations for Implicit Discourse Relation Identification
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Feature EngineeringRelationWord EmbeddingsSimilar Papers 제목 키워드 기반
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings
We introduce a simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition. Specifically, DSWE is learned by performing connective classification on massive …
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Implicit discourse relation classification is one of the most difficult steps in discourse parsing. The difficulty stems from the fact that the coherence relation must be inferred based on the content of the discourse re…
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It has been shown that implicit connectives can be exploited to improve the performance of the models for implicit discourse relation recognition (IDRR). An important property of the implicit connectives is that they can…
Multi-Task LearningTransfer LearningPrompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
Implicit Discourse Relation Recognition (IDRR), which infers discourse relations without the help of explicit connectives, is still a crucial and challenging task for discourse parsing. Recent works tend to exploit the h…
Discourse ParsingLanguage ModellingRelationSelf-Supervised Learning