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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 Hits 1 – 20 of 27 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Anonymisation Models for Text Data: State of the art, Challenges and Future Directions ... 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; Batet, Montserrat; Lison, Pierre. - : Underline Science Inc., 2021 BASE Show details 5 Structured Sentiment Analysis as Dependency Graph Parsing ... 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; Barnes, Jeremy; Kurtz, Robin; Oepen, Stephan; Øvrelid, Lilja; Velldal, Erik. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.263 Abstract: Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time this task has been subdivided into smaller and smaller sub-tasks, e.g., target extraction or targeted polarity classification. We argue that this division has become counterproductive and propose a new unified framework to remedy the situation. We cast the structured sentiment problem as dependency graph parsing, where the nodes are spans of sentiment holders, targets and expressions, and the arcs are the relations between them. We perform experiments on five datasets in four languages (English, Norwegian, Basque, and Catalan) and show that this approach leads to strong improvements over state-of-the-art baselines. Our analysis shows that refining the sentiment graphs with syntactic dependency information further improves results. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25600-structured-sentiment-analysis-as-dependency-graph-parsing https://dx.doi.org/10.48448/v25r-x903 BASE Hide details 6 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 7 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 8 Gender and sentiment, critics and authors: a dataset of Norwegian book reviews ... The 28th International Conference on Computational Linguistics 2020; Øvrelid, Lilja; Touileb, Samia. - : Underline Science Inc., 2020 BASE Show details 9 Building a Norwegian Lexical Resource for Medical Entity Recognition ... Pilán, Ildikó; Brekke, Pål H.; Øvrelid, Lilja. - : arXiv, 2020 BASE Show details 10 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 11 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 12 Probing Multilingual Sentence Representations With X-Probe ... Ravishankar, Vinit; Øvrelid, Lilja; Velldal, Erik. - : arXiv, 2019 BASE Show details 13 Sentiment analysis is not solved! Assessing and probing sentiment classification ... Barnes, Jeremy; Øvrelid, Lilja; Velldal, Erik. - : arXiv, 2019 BASE Show details 14 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 15 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 16 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 17 Diachronic word embeddings and semantic shifts: a survey ... Kutuzov, Andrey; Øvrelid, Lilja; Szymanski, Terrence. - : arXiv, 2018 BASE Show details 18 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details 19 Universal Dependencies 2.0 alpha (obsolete) Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 20 Universal Dependencies 2.0 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details Page: 1 2

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