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Semantic Representations for NLP Using VerbNet and the Generative Lexicon
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In: Front Artif Intell (2022)
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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
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Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation ...
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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ...
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ...
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine ...
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.
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In: nlmid: 101531992 ; essn: 2041-1480 (2021)
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine
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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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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
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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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Abstract:
Introduction BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech was developed by the University of Colorado Boulder - CLEAR (Computational Language and Education Research) and consists of propbank annotation and verb sense disambiguation annotation on English discussion forum (DF), SMS/Chat and conversational telephone speech (CTS) data. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference. Data DF data was collected from the web using a combination of manual and automatic processes. SMS/Chat material was donated or collected via live ...
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URL: https://catalog.ldc.upenn.edu/LDC2020T21 https://dx.doi.org/10.35111/7tng-wk28
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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