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1
Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
In: Proceedings of the Society for Computation in Linguistics (2022)
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Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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Blindness to Modality Helps Entailment Graph Mining ...
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Incorporating Temporal Information in Entailment Graph Mining ...
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5
Blindness to Modality Helps Entailment Graph Mining ...
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6
Semi-Automatic Construction of Text-to-SQL Data for Domain Transfer ...
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Prosodic segmentation for parsing spoken dialogue ...
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8
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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9
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing ...
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10
Formal Basis of a Language Universal ...
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11
Modality and Negation in Event Extraction ...
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Modality and Negation in Event Extraction ...
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Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech ...
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14
Incorporating Temporal Information in Entailment Graph Mining ...
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15
Aspectuality Across Genre: A Distributional Semantics Approach ...
Abstract: The interpretation of the lexical aspect of verbs in English plays a crucial role for recognizing textual entailment and learning discourse-level inferences. We show that two elementary dimensions of aspectual class, states vs. events, and telic vs. atelic events, can be modelled effectively with distributional semantics. We find that a verb's local context is most indicative of its aspectual class, and demonstrate that closed class words tend to be stronger discriminating contexts than content words. Our approach outperforms previous work on three datasets. Lastly, we contribute a dataset of human--human conversations annotated with lexical aspect and present experiments that show the correlation of telicity with genre and discourse goals. ... : to appear at Coling 2020 in oh so lovely virtual Barcelona :) ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2011.00345
https://dx.doi.org/10.48550/arxiv.2011.00345
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16
Learning Negation Scope from Syntactic Structure ...
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17
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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18
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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19
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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