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È possibile comprendere l'impossibile? Uno studio di Self-paced reading sulle proprietà di selezione semantica dei verbi italiani.
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In: http://etd.adm.unipi.it/theses/available/etd-08262021-112205/ (2021)
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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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PISA: A Measure of Preference in Selection of Arguments to Model Verb Argument Recoverability ...
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A Constructionist Approach to Multilingualism in First Language Acquisition: An Analysis of Grammatical Organization in Bilingual Italian/English Children during the Critical Period
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In: http://etd.adm.unipi.it/theses/available/etd-10132020-144204/ (2020)
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Call the plumber, I need to fix my television: Interpreting (and Enriching) Typical and Atypical Sentences
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In: http://etd.adm.unipi.it/theses/available/etd-07132020-130122/ (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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Multimodal Event Knowledge in Online Sentence Comprehension: The Influence of Visual Context on Anticipatory Eye Movements
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In: Psychology Publications (2019)
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37 |
Fake news detection
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In: http://etd.adm.unipi.it/theses/available/etd-10212019-005519/ (2019)
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How do children come to master sentences? The impact of animacy and number dissimilarities on the comprehension of SVO vs. OVS simple transitive sentences in German-speaking preschool children
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In: http://etd.adm.unipi.it/theses/available/etd-05072019-104703/ (2019)
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39 |
La metonimia logica: uno studio sull'italiano
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In: http://etd.adm.unipi.it/theses/available/etd-10172019-100601/ (2019)
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A distributional account of metonymy
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In: http://etd.adm.unipi.it/theses/available/etd-10212019-154642/ (2019)
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Abstract:
The aim of this work is to propose a distributional model for predicting the interpretation of words in metonymic contexts. The model is based on the assumption that speakers rely on knowledge about typical events (McRae and Matsuki 2009) to figure out the additional meaning. This is in line with psycholinguistic evidence showing that extralinguistic information is available early during processing (Hagoort and Van Berkum 2007, Elman 2014) and thereby "constrains" the process of sentence interpretation (McRae and Matsuki 2013). More precisely, I argue that, along with thematic fit, the relation with the concept expressed by the metonymic word is a key factor in determining the best interpretation. A dataset with 50 metonymic sentences and their literal controls has been created to evaluate the ability of the model to deal with both conventional metonymies (like Producer-for-Product metonymy, e.g. "The editor paraphrased Hemingway") and "contextual" metonymies (known as "Reference Transfers", e.g., "The ham sandwich has been waiting for over an hour"). The hypothesis is confirmed by results showing that the quality of paraphrases is correlated to the ranking produced by the model. However, I argue that the performance of the model could potentially be improved by representing more information useful for the interpretation (constraints), such as discourse and utterance context.
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Keyword:
FILOLOGIA; LETTERATURA E LINGUISTICA
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URL: http://etd.adm.unipi.it/theses/available/etd-10212019-154642/
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