Attention for Implicit Discourse Relation Recognition
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Coreference ResolutionFeature EngineeringMachine TranslationReading ComprehensionRelationSentence ClassificationSimilar Papers 제목 키워드 기반
Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition
We tackle implicit discourse relation recognition. Both self-attention and interactive-attention mechanisms have been applied for attention-aware representation learning, which improves the current discourse analysis mod…
RelationRepresentation LearningImplicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning
Implicit discourse relation recognition aims to understand and annotate the latent relations between two discourse arguments, such as temporal, comparison, etc. Most previous methods encode two discourse arguments separa…
RelationSparse LearningText SummarizationA Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches. Our model benefits from a p…
Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition
Prior studies use one attention mechanism to improve contextual semantic representation learning for implicit discourse relation recognition (IDRR). However, diverse relation senses may benefit from different attention m…
RelationRepresentation LearningLeveraging Hierarchical Prototypes as the Verbalizer for Implicit Discourse Relation Recognition
Implicit discourse relation recognition involves determining relationships that hold between spans of text that are not linked by an explicit discourse connective. In recent years, the pre-train, prompt, and predict para…
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