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1
Semantic Representations for NLP Using VerbNet and the Generative Lexicon
In: Front Artif Intell (2022)
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2
Designing Multimodal Datasets for NLP Challenges ...
Abstract: In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to more broadly represent commonsense semantic inferences; and to better reflect the dynamics of actions and events, through a substantive alignment of textual and visual information. We identify challenges and tasks that are reflective of linguistic and cognitive competencies that humans have when speaking and reasoning, rather than merely the performance of systems on isolated tasks. We introduce the distinction between challenge-based tasks and competence-based performance, and describe a diagnostic dataset, Recipe-to-Video Questions (R2VQ), designed for testing competence-based comprehension over a multimodal recipe collection (http://r2vq.org/). The corpus contains detailed annotation supporting such inferencing tasks and facilitating a rich set of question families that we use to evaluate NLP systems. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2105.05999
https://dx.doi.org/10.48550/arxiv.2105.05999
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3
Representing Inferences and their Lexicalization ...
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4
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2020, Online, November 20, 2020.
In: https://halshs.archives-ouvertes.fr/halshs-03102506 ; Association for Computational Linguistics 2020. 2020, 978-1-952148-81-1 ; https://www.aclweb.org/anthology/volumes/2020.louhi-1/ (2020)
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5
Neurosymbolic AI for Situated Language Understanding ...
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6
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020
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7
A Formal Analysis of Multimodal Referring Strategies Under Common Ground ...
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8
A Continuation Semantics for Abstract Meaning Representation ...
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9
Front Matter
In: University of Massachusetts Occasional Papers in Linguistics (2020)
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10
Opacity and the Accessibility of Subject in German A.C.I-Constructions
In: North East Linguistics Society (2020)
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11
Front Matter
In: North East Linguistics Society (2020)
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12
NELS 11 Front Matter
In: North East Linguistics Society (2020)
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13
The lexicon
Pustejovsky, James; Batiukova, Olga. - Cambridge [u.a.] : Cambridge Univ. Press, 2019
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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14
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
In: https://hal.archives-ouvertes.fr/hal-02992403 ; Association for Computational Linguistics. Nov 2019, Hong Kong, 2019, 978-1-950737-77-2 ; https://www.aclweb.org/anthology/D19-6200/ (2019)
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15
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019) ...
Holderness, Eben; Yepes, Antonio Jimeno; Lavelli, Alberto. - : Association for Computational Linguistics, 2019
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16
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
In: Holderness, Eben; Yepes, Antonio Jimeno; Lavelli, Alberto; Minard, Anne-Lyse; Pustejovsky, James; Rinaldi, Fabio (2019). Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019). In: Association for Computational Linguistics, Hong Kong, November, Hong Kong, 2019 - 2019. (2019)
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17
The comparative neuroprimatology 2018 (CNP-2018) road map for research on How the Brain Got Language
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18
Handbook of linguistic annotation ; Volume 2
Ide, Nancy (Herausgeber); Pustejovsky, James (Herausgeber). - Dordrecht : Springer, 2017
Institut für Empirische Sprachwissenschaft
UB Frankfurt Linguistik
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19
Handbook of linguistic annotation ; Volume 1
Ide, Nancy (Herausgeber); Pustejovsky, James (Herausgeber). - Dordrecht : Springer, 2017
Institut für Empirische Sprachwissenschaft
UB Frankfurt Linguistik
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20
Handbook of Linguistic Annotation
Ide, Nancy (Hrsg.); Pustejovsky, James (Hrsg.). - Berlin / New York : Springer, 2017
IDS Bibliografie zur Gesprächsforschung
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