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Semantic Structural Decomposition for Neural Machine Translation ...
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SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA ...
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Universal Dependency Parsing with a General Transition-Based DAG Parser ...
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SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation ...
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Abstract:
We announce a shared task on UCCA parsing in English, German and French, and call for participants to submit their systems. UCCA is a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge for existing parsing techniques, as it exhibits reentrancy (resulting in DAG structures), discontinuous structures and non-terminal nodes corresponding to complex semantic units. Given the success of recent semantic parsing shared tasks (on SDP and AMR), we expect the task to have a significant contribution to the advancement of UCCA parsing in particular, and semantic parsing in general. Furthermore, existing applications for semantic evaluation that are based on UCCA will greatly benefit from better automatic methods for UCCA parsing. The competition website is https://competitions.codalab.org/competitions/19160 ... : Not an actual paper. The shared task summary is at arXiv:1903.02953 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1805.12386 https://dx.doi.org/10.48550/arxiv.1805.12386
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Simple and Effective Text Simplification Using Semantic and Neural Methods ...
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BLEU is Not Suitable for the Evaluation of Text Simplification ...
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A Transition-Based Directed Acyclic Graph Parser for UCCA ...
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Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
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Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
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Rappoport, Ari; Reichart, Roi; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : https://arxiv.org/pdf/1608.05528.pdf, 2017. : Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
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Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
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Don’t Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015)
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