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Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ...
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Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT ...
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Abstract:
We combine character-level and contextual language model representations to improve performance on Discourse Representation Structure parsing. Character representations can easily be added in a sequence-to-sequence model in either one encoder or as a fully separate encoder, with improvements that are robust to different language models, languages and data sets. For English, these improvements are larger than adding individual sources of linguistic information or adding non-contextual embeddings. A new method of analysis based on semantic tags demonstrates that the character-level representations improve performance across a subset of selected semantic phenomena. ... : EMNLP 2020 (long) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2011.04308 https://arxiv.org/abs/2011.04308
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Separating Argument Structure from Logical Structure in AMR ...
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The First Shared Task on Discourse Representation Structure Parsing ...
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The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages ...
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Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions ...
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The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
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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)
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The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations ...
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Combining lexical and spatial knowledge to predict spatial relations between objects in images
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How and why conventional implicatures project
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In: Semantics and Linguistic Theory; Proceedings of SALT 24; 63-83 ; 2163-5951 (2014)
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Gamification for Word Sense Labeling
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In: Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) ; https://hal.inria.fr/hal-01342431 ; Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013), Mar 2013, Potsdam, Germany (2013)
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Aligning Formal Meaning Representations with Surface Strings for Wide-coverage Text Generation
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In: ENLG 2013 ; https://hal.archives-ouvertes.fr/hal-01344582 ; ENLG 2013, Aug 2013, Sophia, Bulgaria (2013)
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Elephant: Sequence Labeling for Word and Sentence Segmentation
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In: EMNLP 2013 ; https://hal.archives-ouvertes.fr/hal-01344500 ; EMNLP 2013, Oct 2013, Seattle, United States (2013)
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Elephant: Sequence labeling for word and sentence segmentation
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A platform for collaborative semantic annotation
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In: EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01389441 ; EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics , Apr 2012, Avignon, France. pp.92 - 96 (2012)
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An Empirical Approach to the Semantic Representation of Laws
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In: The 25th International Conference on Legal Knowledge and Information Systems ; https://hal.inria.fr/hal-01389435 ; The 25th International Conference on Legal Knowledge and Information Systems, Dec 2012, Amsterdam, Netherlands (2012)
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Developing a large semantically annotated corpus
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In: LREC 2012, Eighth International Conference on Language Resources and Evaluation ; https://hal.inria.fr/hal-01389432 ; LREC 2012, Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey (2012)
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