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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 – 8 of 8 1 Spanish Abstract Meaning Representation: Annotation of a General Corpus ... Wein, Shira; Donatelli, Lucia; Ricker, Ethan. - : arXiv, 2022 BASE Show details 2 Compositional Generalization Requires Compositional Parsers ... Weißenhorn, Pia; Yao, Yuekun; Donatelli, Lucia. - : arXiv, 2022 BASE Show details 3 Aligning Actions Across Recipe Graphs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Biswas, Debanjali; Donatelli, Lucia. - : Underline Science Inc., 2021 BASE Show details 4 Normalizing Compositional Structures Across Graphbanks ... Donatelli, Lucia; Groschwitz, Jonas; Koller, Alexander; Lindemann, Matthias; Weißenhorn, Pia. - : arXiv, 2020 Abstract: The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure. These MRs exhibit structural differences that reflect different theoretical and design considerations, presenting challenges to uniform linguistic analysis and cross-framework semantic parsing. Here, we ask the question of which design differences between MRs are meaningful and semantically-rooted, and which are superficial. We present a methodology for normalizing discrepancies between MRs at the compositional level (Lindemann et al., 2019), finding that we can normalize the majority of divergent phenomena using linguistically-grounded rules. Our work significantly increases the match in compositional structure between MRs and improves multi-task learning (MTL) in a low-resource setting, demonstrating the usefulness of careful MR design analysis and comparison. ... : 16 pages, 6 figures ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2004.14236 https://arxiv.org/abs/2004.14236 BASE Hide details 5 A Continuation Semantics for Abstract Meaning Representation ... The 28th International Conference on Computational Linguistics 2020; Donatelli, Lucia; Lai, Kenneth. - : Underline Science Inc., 2020 BASE Show details 6 Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue Abrams, Mitchell; Bonial, Claire; Donatelli, Lucia In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 7 Abstract Meaning Representation for Human-Robot Dialogue Bonial, Claire N; Donatelli, Lucia; Ervin, Jessica... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 8 Tense and Aspect Semantics for Sentential AMR Donatelli, Lucia; Schneider, Nathan; Croft, William... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details

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