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Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
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In: Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-03312774 ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, Aug 2021, Online, France. pp.1-11, ⟨10.18653/v1/2021.starsem-1.1⟩ (2021)
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Not all arguments are processed equally: a distributional model of argument complexity
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03533181 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (4), pp.873-900. ⟨10.1007/s10579-021-09533-9⟩ (2021)
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Not all arguments are processed equally: a distributional model of argument complexity
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In: Springer Netherlands (2021)
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Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media ...
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Decoding Word Embeddings with Brain-Based Semantic Features ...
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Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT ...
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Exploring a Unified {S}equence-{T}o-{S}equence {T}ransformer for Medical Product Safety Monitoring in Social Media ...
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Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
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Cognitive Aspects of the Lexicon (COGALEX-VI) ; Cognitive Aspects of the Lexicon (COGALEX-VI): Proceedings of the Workshop, December 12, 2020, Barcelona, Spain (Online)
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In: https://hal.archives-ouvertes.fr/hal-03168880 ; 2020 (2020)
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Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation
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In: Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP) ; https://hal.archives-ouvertes.fr/hal-03042410 ; Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP), Dec 2020, Suzhou, China (2020)
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Abstract:
International audience ; In linguistics and cognitive science, Logical metonymies are defined as type clashes between an event-selecting verb and an entitydenoting noun (e.g. The editor finished the article), which are typically interpreted by inferring a hidden event (e.g. reading) on the basis of contextual cues. This paper tackles the problem of logical metonymy interpretation, that is, the retrieval of the covert event via computational methods. We compare different types of models, including the probabilistic and the distributional ones previously introduced in the literature on the topic. For the first time, we also tested on this task some of the recent Transformer-based models, such as BERT, RoBERTa, XLNet, and GPT-2. Our results show a complex scenario, in which the best Transformer-based models and some traditional distributional models perform very similarly. However, the low performance on some of the testing datasets suggests that logical metonymy is still a challenging phenomenon for computational modeling.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.LING]Cognitive science/Linguistics; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
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URL: https://hal.archives-ouvertes.fr/hal-03042410/file/Rambelli_AACL.pdf https://hal.archives-ouvertes.fr/hal-03042410 https://hal.archives-ouvertes.fr/hal-03042410/document
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Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings ...
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A Structured Distributional Model of Sentence Meaning and Processing
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In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-02151765 ; Natural Language Engineering, Cambridge University Press (CUP), 2019, 25, no. 4 (2019)
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Distributional Semantics Meets Construction Grammar. Towards a Unified Usage-Based Model of Grammar and Meaning
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In: First International Workshop on Designing Meaning Representations (DMR 2019) ; https://hal.archives-ouvertes.fr/hal-02146537 ; First International Workshop on Designing Meaning Representations (DMR 2019), Aug 2019, Florence, Italy (2019)
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A Structured Distributional Model of Sentence Meaning and Processing ...
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Event Knowledge in Sentence Processing: A New Dataset for the Evaluation of Argument Typicality
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In: LREC 2018 Workshop on Linguistic and Neurocognitive Resources (LiNCR) ; https://hal.archives-ouvertes.fr/hal-01724286 ; LREC 2018 Workshop on Linguistic and Neurocognitive Resources (LiNCR), May 2018, Miyazaki, Japan (2018)
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Modeling Violations of Selectional Restrictions with Distributional Semantics
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In: COLING Workshop on Linguistic Complexity and Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838229 ; COLING Workshop on Linguistic Complexity and Natural Language Processing, Aug 2018, Santa Fe, United States (2018)
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A Rank-Based Similarity Metric for Word Embeddings
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In: 56th annual meeting of the Association for Computational Linguistics (ACL) ; https://hal.archives-ouvertes.fr/hal-01838253 ; 56th annual meeting of the Association for Computational Linguistics (ACL), Jul 2018, Melbourne, Australia (2018)
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