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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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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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Abstract:
Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial relations. We take a supervised learning approach to the spatial relation classi- fication problem and study the effects of spatial and lexical information on prediction performance. We find that lexical information is required to accurately predict spatial relations when combined with location information, achieving an F-score of 0.80, compared to a most-frequent-class baseline of 0.62. ; The first author was supported by the Erasmus Mundus Programme in Language and Communication Technologies (EM LCT) and partly by the SSIX Horizon 2020 project (grant agreement No 645425) and Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289. ; peer-reviewed
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Keyword:
Data analytics; Images; Lexical; Linguistic applications; Objects; Spatial relations
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URL: http://hdl.handle.net/10379/6240
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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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