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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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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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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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Testing APSyn against Vector Cosine on Similarity Estimation
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In: PACLIC-2016 ; https://hal.archives-ouvertes.fr/hal-01462134 ; PACLIC-2016, 2016, Seoul, South Korea (2016)
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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
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In: EMNLP-2016 ; https://hal.archives-ouvertes.fr/hal-01462135 ; EMNLP-2016, 2016, Austin, United States (2016)
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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity ...
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