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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 Hits 1 – 20 of 92 1 Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics Bruera, Andrea; Poesio, Massimo In: Front Artif Intell (2022) Abstract: Semantic knowledge about individual entities (i.e., the referents of proper names such as Jacinta Ardern) is fine-grained, episodic, and strongly social in nature, when compared with knowledge about generic entities (the referents of common nouns such as politician). We investigate the semantic representations of individual entities in the brain; and for the first time we approach this question using both neural data, in the form of newly-acquired EEG data, and distributional models of word meaning, employing them to isolate semantic information regarding individual entities in the brain. We ran two sets of analyses. The first set of analyses is only concerned with the evoked responses to individual entities and their categories. We find that it is possible to classify them according to both their coarse and their fine-grained category at appropriate timepoints, but that it is hard to map representational information learned from individuals to their categories. In the second set of analyses, we learn to decode from evoked responses to distributional word vectors. These results indicate that such a mapping can be learnt successfully: this counts not only as a demonstration that representations of individuals can be discriminated in EEG responses, but also as a first brain-based validation of distributional semantic models as representations of individual entities. Finally, in-depth analyses of the decoder performance provide additional evidence that the referents of proper names and categories have little in common when it comes to their representation in the brain. Keyword: Artificial Intelligence URL: https://doi.org/10.3389/frai.2022.796793 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905499/ BASE Hide details 2 Coreference Resolution for the Biomedical Domain: A Survey ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lu, Pengcheng; Poesio, Massimo. - : Underline Science Inc., 2021 BASE Show details 3 SemEval 2021 Task 12: Learning with Disagreement ... 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; Chamberlain, Jon; Dumitrache, Anca. - : Underline Science Inc., 2021 BASE Show details 4 Patterns of Lexical Ambiguity in Contextualised Language Models ... Haber, Janosch; Poesio, Massimo. - : arXiv, 2021 BASE Show details 5 Patterns of Polysemy and Homonymy in Contextualised Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Haber, Janosch; Poesio, Massimo. - : Underline Science Inc., 2021 BASE Show details 6 Data Augmentation Methods for Anaphoric Zero Pronouns ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2021 BASE Show details 7 SemEval-2021 Task 12: Learning with Disagreements Uma, Alexandra; Fornaciari, Tommaso; Dumitrache, Anca. - : Association for Computational Linguistics, 2021 BASE Show details 8 We Need to Consider Disagreement in Evaluation Basile, Valerio; Fell, Michael; Fornaciari, Tommaso. - : Association for Computational Linguistics, 2021. : country:USA, 2021. : place:Stroudsburg, PA, 2021 BASE Show details 9 Neural Coreference Resolution for Arabic ... The 28th International Conference on Computational Linguistics 2020; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details 10 Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance ... The 28th International Conference on Computational Linguistics 2020; Haber, Janosch; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details 11 Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution ... The 28th International Conference on Computational Linguistics 2020; Moosavi, Nafise Sadat; Paun, Silviu. - : Underline Science Inc., 2020 BASE Show details 12 Anaphoric Zero Pronoun Identification: A Multilingual Approach ... The 28th International Conference on Computational Linguistics 2020; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details 13 Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data? Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo. - : Springer-Verlag, 2020 BASE Show details 14 Phrase Detectives Corpus Version 2 Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019 BASE Show details 15 Phrase Detectives Corpus Version 2 ... Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019 BASE Show details 16 Crowdsourcing and Aggregating Nested Markable Annotations ... Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Universität Regensburg, 2019 BASE Show details 17 Crowdsourcing and Aggregating Nested Markable Annotations Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019 BASE Show details 18 A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation Paun, Silviu; Uma, Alexandra; Poesio, Massimo. - : Association for Computational Linguistics, 2019 BASE Show details 19 Crowdsourcing and Aggregating Nested Markable Annotations Poesio, Massimo; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019 BASE Show details 20 A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation Poesio, Massimo; Chamberlain, Jon; Paun, Silviu. - : Association for Computational Linguistics, 2019 BASE Show details Page: 1 2 3 4 5

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