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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
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Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ...
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Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation ...
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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ...
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BOLT Egyptian Arabic PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
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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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BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ...
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Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions
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In: Parra Escartín, Carla orcid:0000-0002-8412-1525 and Walsh, Abigail (2018) Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions. In: Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), 25-26 Aug 2018, Santa Fe, NM, USA. (2018)
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Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
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In: https://hal.archives-ouvertes.fr/hal-01865566 ; Association for Computational Linguistics, 2018, 978-1-948087-51-3 ; https://aclanthology.info/volumes/proceedings-of-the-joint-workshop-on-linguistic-annotation-multiword-expressions-and-constructions-law-mwe-cxg-2018 (2018)
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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