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Hits 1 – 4 of 4
1
Semi-Automatic Construction of Text-to-SQL Data for Domain Transfer ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Li, Sujian
;
Li, Tianyi
. - : Underline Science Inc., 2021
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2
Prosodic segmentation for parsing spoken dialogue ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Sharon
;
Nielsen, Elizabeth
. - : Underline Science Inc., 2021
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3
Formal Basis of a Language Universal ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Stanojević, Miloš
;
Steedman, Mark
. - : Underline Science Inc., 2021
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4
Modality and Negation in Event Extraction ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Bijl de Vroe, Sander
;
Guillou, Liane
;
McKenna, Nick
;
Stanojevic, Milos
;
Steedman, Mark
. - : Underline Science Inc., 2021
Abstract:
Language provides speakers with a rich system of modality for expressing thoughts about events, without being committed to their actual occurrence. Modality is commonly used in the political news domain, where both actual and possible courses of events are discussed. NLP systems struggle with these semantic phenomena, often incorrectly extracting events which did not happen, which can lead to issues in downstream applications. We present an open-domain, lexicon-based event extraction system that captures various types of modality. This information is valuable for Question Answering, Knowledge Graph construction and Fact-checking tasks, and our evaluation shows that the system is sufficiently strong to be used in downstream applications. ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Machine Learning
;
Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/axxv-1418
https://underline.io/lecture/29886-modality-and-negation-in-event-extraction
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