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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 Hits 1 – 7 of 7 1 Integrating Personalized PageRank into Neural Word Sense Disambiguation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bevilacqua, Michele; ElSheikh, Ahmed. - : Underline Science Inc., 2021 BASE Show details 2 {W}iki{NE}u{R}al: {C}ombined Neural and Knowledge-based Silver Data Creation for Multilingual {NER} ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Campolungo, Niccolò; Cecconi, Francesco. - : Underline Science Inc., 2021 BASE Show details 3 {UniteD-SRL}: {A} Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual {S}emantic {R}ole {L}abeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Conia, Simone; Conia, Simone. - : Underline Science Inc., 2021 BASE Show details 4 IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Banerjee, Somnath; Blloshmi, Rexhina. - : Underline Science Inc., 2021 BASE Show details 5 ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Barba, Edoardo; Navigli, Roberto; Procopio, Luigi. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.112/ Abstract: Supervised systems have nowadays become the standard recipe for Word Sense Disambiguation (WSD), with Transformer-based language models as their primary ingredient. However, while these systems have certainly attained unprecedented performances, virtually all of them operate under the constraining assumption that, given a context, each word can be disambiguated individually with no account of the other sense choices. To address this limitation and drop this assumption, we propose CONtinuous SEnse Comprehension (ConSeC), a novel approach to WSD: leveraging a recent re-framing of this task as a text extraction problem, we adapt it to our formulation and introduce a feedback loop strategy that allows the disambiguation of a target word to be conditioned not only on its context but also on the explicit senses assigned to nearby words. We evaluate ConSeC and examine how its components lead it to surpass all its competitors and set a new ... Keyword: Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics URL: https://underline.io/lecture/37804-consec-word-sense-disambiguation-as-continuous-sense-comprehension https://dx.doi.org/10.48448/jh3y-jv86 BASE Hide details 6 AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Brignone, Fabrizio; Cecconi, Francesco. - : Underline Science Inc., 2021 BASE Show details 7 GeneSis: A Generative Approach to Substitutes in Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lacerra, Caterina; Navigli, Roberto. - : Underline Science Inc., 2021 BASE Show details

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