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Hits 1 – 3 of 3
1
Blindness to Modality Helps Entailment Graph Mining ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Mark
;
Bijl de Vroe, Sander
. - : Underline Science Inc., 2021
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2
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
. - : Underline Science Inc., 2021
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3
Incorporating Temporal Information in Entailment Graph Mining ...
The 28th International Conference on Computational Linguistics 2020
;
Bijl de Vroe, Sander
;
Guillou, Liane
;
Hosseini, Mohammed Javad
;
Johnson, Mark
;
Steedman, Mark
. - : Underline Science Inc., 2020
Abstract:
We present a novel method for injecting temporality into entailment graphs to address the problem of spurious entailments, which may arise from similar but temporally distinct events involving the same pair of entities. We focus on the sports domain in which the same pairs of teams play on different occasions, with different outcomes. We present an unsupervised model that aims to learn entailments such as win/lose → play, while avoiding the pitfall of learning non-entailments such as win /→ lose. We evaluate our model on a manually constructed dataset, showing that incorporating time intervals and applying a temporal window around them, are effective strategies. ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://underline.io/lecture/6490-incorporating-temporal-information-in-entailment-graph-mining
https://dx.doi.org/10.48448/j3dq-tj10
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