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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 97 1 Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics Bruera, Andrea; Poesio, Massimo In: Front Artif Intell (2022) BASE Show 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 Fake opinion detection: how similar are crowdsourced datasets to real data? [<Journal>] Fornaciari, Tommaso [Verfasser]; Cagnina, Leticia [Verfasser]; Rosso, Paolo [Verfasser]. DNB Subject Category Language Show details 10 Neural Coreference Resolution for Arabic ... The 28th International Conference on Computational Linguistics 2020; Aloraini, Abdulrahman; Poesio, Massimo. - : Underline Science Inc., 2020 BASE Show details 11 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 Abstract: Co-predication is one of the most frequently used linguistic tests to tell apart shifts in polysemic sense from changes in homonymic meaning. It is increasingly coming under criticism as evidence is accumulating that it tends to mis-classify specific cases of polysemic sense alteration as homonymy. In this paper, we collect empirical data to investigate these accusations. We asses how co-predication acceptability relates to explicit ratings of polyseme word sense similarity, and how well either measure can be predicted through the distance between target words' contextualised word embeddings. We find that sense similarity appears to be a major contributor in determining co-predication acceptability, but that co-predication judgements tend to rate less similar sense interpretations as being as unacceptable as homonym pairs, effectively mis-classifying these instances. The tested contextualised word embeddings fail to predict word sense similarity consistently, but the similarities between BERT embeddings show ... Keyword: Computer and Information Science; Natural Language Processing; Neural Network URL: https://dx.doi.org/10.48448/d4nw-pp53 https://underline.io/lecture/6422-assessing-polyseme-sense-similarity-through-co-predication-acceptability-and-contextualised-embedding-distance BASE Hide details 12 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 13 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 14 Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data? Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo. - : Springer-Verlag, 2020 BASE Show details 15 Phrase Detectives Corpus Version 2 Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019 BASE Show details 16 Phrase Detectives Corpus Version 2 ... Chamberlain, Jon; Paun, Silviu; Yu, Juntao. - : Linguistic Data Consortium, 2019 BASE Show details 17 Crowdsourcing and Aggregating Nested Markable Annotations ... Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Universität Regensburg, 2019 BASE Show details 18 Crowdsourcing and Aggregating Nested Markable Annotations Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019 BASE Show details 19 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 20 Crowdsourcing and Aggregating Nested Markable Annotations Poesio, Massimo; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019 BASE Show details Page: 1 2 3 4 5

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