Results 31 to 40 of about 9,135 (197)
BMC Bioinformatics, 2017 Background Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific literature.
K. Bretonnel Cohen +8 more
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Multi-task learning with contextual hierarchical attention for Korean coreference resolution
ETRI Journal, 2023 Coreference resolution is a task in discourse analysis that links several headwords used in any document object. We suggest pointer networks-based coreference resolution for Korean using multi-task learning (MTL) with an attention mechanism for a ...
Cheoneum Park
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Use Generalized Representations, But Do Not Forget Surface Features [PDF]
, 2017 Only a year ago, all state-of-the-art coreference resolvers were using an extensive amount of surface features. Recently, there was a paradigm shift towards using word embeddings and deep neural networks, where the use of surface features is very limited.
Moosavi, Nafise Sadat, Strube, Michael
core +2 more sources
Sequential Cross-Document Coreference Resolution [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 Relating entities and events in text is a key component of natural language understanding. Cross-document coreference resolution, in particular, is important for the growing interest in multi-document analysis tasks. In this work we propose a new model that extends the efficient sequential prediction paradigm for coreference resolution to cross ...
Allaway, Emily +2 more
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Revisiting Selectional Preferences for Coreference Resolution [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 EMNLP 2017 - short ...
Heinzerling, B. +2 more
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Toward Gender-Inclusive Coreference Resolution [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Correctly resolving textual mentions of people fundamentally entails making inferences about those people. Such inferences raise the risk of systemic biases in coreference resolution systems, including biases that can harm binary and non-binary trans and cis stakeholders.
Cao, Yang Trista, Daumé III, Hal
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NMN-VD: A Neural Module Network for Visual Dialog
Sensors, 2021 Visual dialog demonstrates several important aspects of multimodal artificial intelligence; however, it is hindered by visual grounding and visual coreference resolution problems. To overcome these problems, we propose the novel neural module network for
Yeongsu Cho, Incheol Kim
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End-to-End Event Coreference Resolution Based on Core Sentence [PDF]
Jisuanji kexue, 2023 Most previous event coreference resolution models belong to pairwise similarity models,which judge whether the two events are coreferences by calculating the similarity between them.However,when two event mentions appear close to each other in the ...
HUAN Zhigang, JIANG Guoquan, ZHANG Yujian, LIU Liu, DING Kun
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Vagueness and referential ambiguity in a large-scale annotated corpus [PDF]
, 2008 In this paper, we argue that difficulties in the definition of coreference itself contribute to lower inter-annotator agreement in certain cases. Data from a large referentially annotated corpus serves to corroborate this point, using a quantitative ...
Versley, Yannick
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Coreference Resolution with Entity Equalization [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 A key challenge in coreference resolution is to capture properties of entity clusters, and use those in the resolution process. Here we provide a simple and effective approach for achieving this, via an “Entity Equalization” mechanism. The Equalization approach represents each mention in a cluster via an approximation of the sum of all mentions in the ...
Ben Kantor, Amir Globerson
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