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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...8 Hits 1 – 20 of 156 1 A Self-Paced Reading Study on Processing Constructions with Different Degrees of Compositionality Rambelli, Giulia; Lenci, Alessandro; Blache, Philippe In: The 35th Annual Conference on Human Sentence Processing ; https://hal.archives-ouvertes.fr/hal-03620795 ; The 35th Annual Conference on Human Sentence Processing, Mar 2022, UC Santa Cruz, United States (2022) BASE Show details 2 Probing for the Usage of Grammatical Number ... Lasri, Karim; Pimentel, Tiago; Lenci, Alessandro. - : arXiv, 2022 BASE Show details 3 Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ... Lasri, Karim; Lenci, Alessandro; Poibeau, Thierry. - : arXiv, 2022 BASE Show details 4 Not all arguments are processed equally: a distributional model of argument complexity [<Journal>] Chersoni, Emmanuele [Verfasser]; Santus, Enrico [Verfasser]; Lenci, Alessandro [Verfasser]. DNB Subject Category Language Show details 5 Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge Pedinotti, Paolo; Rambelli, Giulia; Chersoni, Emmanuele... 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, &#x27E8;10.18653/v1/2021.starsem-1.1&#x27E9; (2021) BASE Show details 6 Not all arguments are processed equally: a distributional model of argument complexity Chersoni, Emmanuele; Santus, Enrico; Lenci, Alessandro... 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. &#x27E8;10.1007/s10579-021-09533-9&#x27E9; (2021) BASE Show details 7 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 8 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 9 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 10 Not all arguments are processed equally: a distributional model of argument complexity Chersoni, Emmanuele; Santus, Enrico; Lenci, Alessandro... In: Springer Netherlands (2021) BASE Show details 11 Decoding Word Embeddings with Brain-Based Semantic Features ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chersoni, Emmanuele; Huang, Chu-ren; Lenci, Alessandro; Santus, Enrico. - : Underline Science Inc., 2021 Abstract: Word embeddings are vectorial semantic representations built with either counting or predicting techniques aimed at capturing shades of meaning from word co-occurrences. Since their introduction, these representations have been criticized for lacking interpretable dimensions. This property of word embeddings limits our understanding of the semantic features they actually encode. Moreover, it contributes to the “black box” nature of the tasks in which they are used, since the reasons for word embedding performance often remain opaque to humans. In this contribution, we explore the semantic properties encoded in word embeddings by mapping them onto interpretable vectors, consisting of explicit and neurobiologically motivated semantic features (Binder et al. 2016). Our exploration takes into account different types of embeddings, including factorized count vectors and predict models (Skip-Gram, GloVe, etc.), as well as the most recent contextualized representations (i.e., ELMo and BERT). In our analysis, we ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/vrje-qk50 https://underline.io/lecture/38211-decoding-word-embeddings-with-brain-based-semantic-features BASE Hide details 12 Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Blache, Philippe; Chersoni, Emmanuele. - : Underline Science Inc., 2021 BASE Show details 13 A comparative evaluation and analysis of three generations of Distributional Semantic Models ... Lenci, Alessandro; Sahlgren, Magnus; Jeuniaux, Patrick. - : arXiv, 2021 BASE Show details 14 Constructional associations trump lexical associations in processing valency coercion Busso, Lucia; Perek, Florent; Lenci, Alessandro. - 2021 BASE Show details 15 Common-Sense and Common-Knowledge. How much do Neural Language Models know about the world? ROCCHIETTI, GUIDO In: http://etd.adm.unipi.it/theses/available/etd-03122021-000321/ (2021) BASE Show details 16 I neologismi nelle edizioni del 2010 e del 2021 del dizionario "Zingarelli della lingua italiana" BERNI, MATTEO In: http://etd.adm.unipi.it/theses/available/etd-05102021-214231/ (2021) BASE Show details 17 Large-scale Cross-lingual Word Sense Disambiguation using Parallel Corpora PETROLITO, TOMMASO In: http://etd.adm.unipi.it/theses/available/etd-09112021-110903/ (2021) BASE Show details 18 Probing the linguistic knowledge of word embeddings: A case study on colexification BERTOLDO, SARA In: http://etd.adm.unipi.it/theses/available/etd-06212021-172428/ (2021) BASE Show details 19 "Love is an open door but not a table". Come uomini e macchine 'comprendono' le metafore lessicalizzate e creative. DI PALMA, ELIANA In: http://etd.adm.unipi.it/theses/available/etd-03242021-214055/ (2021) BASE Show details 20 Le interpretazioni del concetto di composizionalita' delle espressioni idiomatiche nella letteratura psicolinguistica MELI, ANNALISA In: http://etd.adm.unipi.it/theses/available/etd-09132021-151853/ (2021) BASE Show details Page: 1 2 3 4 5...8

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