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1
Scaling Semantic Role Labeling and Semantic Parsing Across Languages ...
Navigli, Roberto. - : Leibniz Universität Hannover (LUH),L3S Research Center,CLEOPATRA ITN, 2021
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2
Opening Session ...
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Integrating Personalized PageRank into Neural Word Sense Disambiguation ...
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4
Closing and Future Conferences ...
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5
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources ...
NAACL 2021 2021; Bacciu, Andrea; Conia, Simone. - : Underline Science Inc., 2021
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6
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation ...
NAACL 2021 2021; Navigli, Roberto; Procopio, Luigi. - : Underline Science Inc., 2021
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7
{W}iki{NE}u{R}al: {C}ombined Neural and Knowledge-based Silver Data Creation for Multilingual {NER} ...
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8
{UniteD-SRL}: {A} Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual {S}emantic {R}ole {L}abeling ...
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9
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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10
Modeling the Unigram Distribution
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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11
On Finding the K-best Non-projective Dependency Trees
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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12
Higher-order Derivatives of Weighted Finite-state Machines
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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13
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
Abstract: Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. Noting the rising number of applications of other machine learning and AI techniques with pervasive societal impact, we anticipate the rising importance of developing NLP technologies for social good. Inspired by theories in moral philosophy and global priorities research, we aim to promote a guideline for social good in the context of NLP. We lay the foundations via the moral philosophy definition of social good, propose a framework to evaluate the direct and indirect real-world impact of NLP tasks, and adopt the methodology of global priorities research to identify priority causes for NLP research. Finally, we use our theoretical framework to provide some practical guidelines for future NLP research for social good.
URL: https://hdl.handle.net/20.500.11850/527311
https://doi.org/10.3929/ethz-b-000527311
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14
Scaling Within Document Coreference to Long Texts
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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15
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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16
Examining the Inductive Bias of Neural Language Models with Artificial Languages
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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17
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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18
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ...
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19
Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling ...
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20
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline ...
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