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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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{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)
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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)
Abstract: We present Knowledge Enhanced Multimodal BART (KM-BART), which is a Transformer-based sequence-to-sequence model capable of reasoning about commonsense knowledge from multimodal inputs of images and texts. We adapt the generative BART architecture (Lewis et al., 2020) to a multimodal model with visual and textual inputs. We further develop novel pretraining tasks to improve the model performance on the Visual Commonsense Generation (VCG) task. In particular, our pretraining task of Knowledge-based Commonsense Generation (KCG) boosts model performance on the VCG task by leveraging commonsense knowledge from a large language model pretrained on external commonsense knowledge graphs. To the best of our knowledge, we are the first to propose a dedicated task for improving model performance on the VCG task. Experimental results show that our model reaches state-of-the-art performance on the VCG task (Park et al., 2020) by applying these novel pretraining tasks.
URL: https://doi.org/10.3929/ethz-b-000497662
https://hdl.handle.net/20.500.11850/521263
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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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