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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 – 6 of 6 1 Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ... 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; Bisazza, Arianna; Bos, Johan. - : Underline Science Inc., 2021 BASE Show details 2 Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT ... van Noord, Rik; Toral, Antonio; Bos, Johan. - : arXiv, 2020 BASE Show details 3 The First Shared Task on Discourse Representation Structure Parsing ... Abzianidze, Lasha; van Noord, Rik; Haagsma, Hessel; Bos, Johan. - : arXiv, 2020 Abstract: The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser. ... : International Conference on Computational Semantics (IWCS) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; Machine Learning cs.LG URL: https://arxiv.org/abs/2005.13399 https://dx.doi.org/10.48550/arxiv.2005.13399 BASE Hide details 4 The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages ... Abzianidze, Lasha; van Noord, Rik; Wang, Chunliu. - : arXiv, 2020 BASE Show details 5 The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations Abzianidze, Lasha; Bjerva, Johannes; Evang, Kilian... In: 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01630960 ; 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.242 - 247 (2017) BASE Show details 6 The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations ... Abzianidze, Lasha; Bjerva, Johannes; Evang, Kilian. - : arXiv, 2017 BASE Show details

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