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Coreference resolution is the task of determining which expressions in a text are used to refer to the same entity. This task is one of the most fundamental ...
Sep 6, 2017 · Abstract. Coreference resolution is the task of determining which expressions in a text are used to refer to the same entity.
Coreference resolution is the task of determining which expressions in a text are used to refer to the same entity. This task is one of the most fundamental ...
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We propose a unified representation of different approaches to coreference reso- lution in terms of the structure they operate on. We represent several ...
Structured learning with latent trees: a joint approach to coreference ...
hal.science › tel-01331425
This thesis explores ways to define automated coreference resolution systems by using structured machine learning techniques. We design supervised models ...
We propose a unified representation of different approaches to coreference resolution in terms of the structure they operate on. We represent several ...
Re-contextualizing All Nodes. After updating the representations of non-termination nodes, we feed the achieved representation vector to the contextual.
Jun 23, 2024 · We propose the construction of document-level Rhetorical Structure Theory (RST) trees and cross-document Lexical Chains to model the structural and semantic ...
Nov 10, 2020 · Coreference resolution models cluster mentions by their referring entities. Almost all such models rely on vector representations of mentions ( ...
We present a neural net- work based coreference system that pro- duces high-dimensional vector represen- tations for pairs of coreference clusters. Using these ...