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Implicit Discourse Relation Classification

Parsing a text into a set of discourse relations between two adjacent or non-adjacent discourse units in the absence of explicit connectives, such as 'but' or 'however', and classifying those relations. (Source: Adapted from https://www.cs.brandeis.edu/~clp/conll15st/intro.html)

Papers

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Showing 26–37 of 37 papers

TitleStatusHype
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph—0
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
On the Need of Cross Validation for Discourse Relation Classification—0
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features—0
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models—0
Implicit Discourse Relation Classification via Multi-Task Neural Networks—0
A Latent Variable Recurrent Neural Network for Discourse Relation Language ModelsCode0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns—0
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