We introduce a simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition.
A simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition and on the PDTB data set, ...
Request PDF | On Jan 1, 2017, Changxing Wu and others published Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings ...
May 27, 2024 · Bibliographic details on Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings.
Dec 5, 2019 · In this paper, we propose a simple and effective method to leverage massive explicit discourse data. Specifically, we learn connective-based ...
May 20, 2024 · In order to improve the prediction accuracy of whether a word is replaced, the model need learn the [general] token's representation with a more.
Table of Contents · Abstract · 1 Introduction · 2 Discourse-specific Word Embeddings · 3 Experiments. 3.1 Data and Settings; 3.2 Results · 4 Conclusion ...
In this paper, we propose a simple and effective method to leverage massive explicit discourse data. Specifically, we learn connective-based word embeddings ( ...
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What is implicit discourse relation recognition?
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings ... Coherence Modeling Improves Implicit Discourse Relation Recognition
[discourse relations] A discourse relation (or rhetorical relation) is a description of how two segments of discourse are logically connected to one another.