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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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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 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 platforms. CTS data was taken from LDC's Arabic and Chinese CALLHOME and CALLFRIEND telephone collections; the audio files were transcribed and translated into English. Propbank annotation and verb sense disambiguation were applied to BOLT phrase structure treebank annotation, specifically, to each predicate verb in a tree. Propbank annotation provided a layer of semantic annotation over treebank and was performed on all three genres. DF and SMS/Chat data was also annotated for verb sense disambiguation using Verbnet 3.2 classes. Annotation files are presented as UTF-8 encoded and are in either plain text or XML formats. *Sponsorship* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Samples* Please view this PropBank sample (TXT) and Sense sample (TXT). *Updates* None at this time.
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URL: https://catalog.ldc.upenn.edu/LDC2020T21
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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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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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