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Social changes through the lens of language: A big data study of Chinese modal verbs
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In: PLoS One (2022)
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Database of word-level statistics for Mandarin Chinese (DoWLS-MAN)
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In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03328510 ; Behavior Research Methods, Psychonomic Society, Inc, In press, ⟨10.3758/s13428-021-01620-7⟩ (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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Distribution of Mandarin synesthetic adjectives in five senses
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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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Abstract:
This work addresses some questions about language processing: what does it mean that natural language sentences are semantically complex? What semantic features can determine different degrees of difficulty for human comprehenders? Our goal is to introduce a framework for argument semantic complexity, in which the processing difficulty depends on the typicality of the arguments in the sentence, that is, their degree of compatibility with the selectional constraints of the predicate. We postulate that complexity depends on the difficulty of building a semantic representation of the event or the situation conveyed by a sentence. This representation can be either retrieved directly from the semantic memory or built dynamically by solving the constraints included in the stored representations. To support this postulation, we built a Distributional Semantic Model to compute a compositional cost function for the sentence unification process. Our evaluation on psycholinguistic datasets reveals that the model is able to account for semantic phenomena such as the context-sensitive update of argument expectations and the processing of logical metonymies.
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URL: https://hdl.handle.net/1721.1/132963
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From Contact Prevention to Social Distancing: The Co-Evolution of Bilingual Neologisms and Public Health Campaigns in Two Cities in the Time of COVID-19 ...
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From Contact Prevention to Social Distancing: The Co-Evolution of Bilingual Neologisms and Public Health Campaigns in Two Cities in the Time of COVID-19 ...
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Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques ...
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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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Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features ...
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Improving attention model based on cognition grounded data for sentiment analysis
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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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