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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
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Abstract Meaning Representation (AMR) Annotation Release 3.0
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BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
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InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research ...
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Abstract Meaning Representation (AMR) Annotation Release 3.0 ...
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BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
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Graph-to-Graph Meaning Representation Transformations for Human-Robot Dialogue
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Abstract Meaning Representation for Human-Robot Dialogue
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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Abstract Meaning Representation (AMR) Annotation Release 2.0
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Abstract Meaning Representation (AMR) Annotation Release 2.0 ...
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Abstract Meaning Representation (AMR) Annotation Release 1.0
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Abstract Meaning Representation (AMR) Annotation Release 1.0 ...
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Palmer, Martha; Marcu, Daniel; Griffitt, Kira; Knight, Kevin; Baranescu, Laura; Bonial, Claire; Georgescu, Madalina; Hermjakob, Ulf; Schneider, Nathan. - : Linguistic Data Consortium, 2014
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Abstract:
Introduction Abstract Meaning Representation (AMR) Annotation Release 1.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a sembank (semantic treebank) of over 13,000 English natural language sentences from newswire, weblogs and web discussion forums. AMR captures “who is doing what to whom” in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree-structure. AMR utilizes PropBank frames, non-core semantic roles, within-sentence coreference, named entity annotation, modality, negation, questions, quantities, and so on to represent the semantic structure ...
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URL: https://catalog.ldc.upenn.edu/LDC2014T12 https://dx.doi.org/10.35111/0ync-7404
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