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A Multimodal Model for Predicting Conversational Feedbacks
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In: International Conference on Text, Speech, and Dialogue (TSD ) ; https://hal.archives-ouvertes.fr/hal-03331446 ; International Conference on Text, Speech, and Dialogue (TSD ), 2021, Olomouc, Czech Republic (2021)
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A Multimodal Model for Predicting Conversational Feedbacks
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In: Text, Speech, and Dialogue 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings ; International Conference on Text, Speech, and Dialogue (TSD ) ; https://hal.archives-ouvertes.fr/hal-03331446 ; International Conference on Text, Speech, and Dialogue (TSD ), 2021, Olomouc, Czech Republic. ⟨10.1007/978-3-030-83527-9_46⟩ (2021)
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Common Ground, Frames and Slots: Understanding Doctors Interacting with a Virtual Patient
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In: International Conference on Natural Language Computing (NATL 2021) ; https://hal.archives-ouvertes.fr/hal-03397028 ; International Conference on Natural Language Computing (NATL 2021), Nov 2021, London, United Kingdom (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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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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Two-level classification for dialogue act recognition in task-oriented dialogues
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In: COLING-2020 ; https://hal.archives-ouvertes.fr/hal-02954413 ; COLING-2020, Oct 2020, Barcelona, Spain (2020)
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A coherence model for sentence ordering
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In: Natural Language Processing and Information Systems 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings ; NLDB-2019 ; https://hal.archives-ouvertes.fr/hal-02299211 ; NLDB-2019, 2019, Manchester, United Kingdom. ⟨10.1007/978-3-030-23281-8⟩ (2019)
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Toward an Automatic Prediction of the Sense of Presence in Virtual Reality Environment
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In: 6th International Conference on Human-Agent Interaction (HAI-2018) ; https://hal.archives-ouvertes.fr/hal-01907590 ; 6th International Conference on Human-Agent Interaction (HAI-2018), Dec 2018, Southampton, United Kingdom ; http://hai-conference.net/hai2018/ (2018)
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What common ground between a human and a virtual agent? The case of task-oriented dialogues for breaking bad news
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In: SEMDIAL ; https://hal.archives-ouvertes.fr/hal-01907596 ; SEMDIAL, Nov 2018, Aix-en-Provence, France (2018)
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The Acorformed Corpus: Investigating Multimodality in Human-Human and Human-Virtual Patient Interactions
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In: CLARIN-2018 ; https://hal.archives-ouvertes.fr/hal-01907582 ; CLARIN-2018, Oct 2018, Pisa, Italy (2018)
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Delayed interpretation, shallow processing and constructions: the basis of the "interpret whenever possible" principle
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In: Cognitive Approach to Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01907628 ; Cognitive Approach to Natural Language Processing, 2017 (2017)
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Dialogue management in task-oriented dialogue systems
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In: 1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17) ; https://hal.archives-ouvertes.fr/hal-01708376 ; 1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17), Nov 2017, Glasgow, United Kingdom. ⟨10.1145/3139491.3139507⟩ (2017)
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Virtual Patient for Training Doctors to Break Bad News
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In: Actes du Workshop Affect, Compagnon Artificiel Interaction, WACAI'2016 ; Workshop, Affect, Compagnon Artificiel, Interaction ; https://hal.archives-ouvertes.fr/hal-01462159 ; Workshop, Affect, Compagnon Artificiel, Interaction, 2016, Brest, France. non paginé (2016)
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Good-enough parsing, Whenever possible interpretation: a constraint-based model of sentence comprehension
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In: CSLP-2016 ; https://hal.archives-ouvertes.fr/hal-01907632 ; CSLP-2016, Nov 2016, New York, United States (2016)
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