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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 2 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 3 BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech Palmer, Martha; Hwang, Jena D.; Bonial, Claire. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 4 K-SNACS: Annotating Korean Adposition Semantics ... The 28th International Conference on Computational Linguistics 2020; Choe, Hanwool; Han, Na-Rae. - : Underline Science Inc., 2020 BASE Show details 5 BOLT English PropBank and Sense -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech ... Palmer, Martha; Hwang, Jena; Bonial, Claire; O'Gorman, Tim; Gung, James; Stowe, Kevin; Green, Meredith. - : Linguistic Data Consortium, 2020 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 ... URL: https://catalog.ldc.upenn.edu/LDC2020T21 https://dx.doi.org/10.35111/7tng-wk28 BASE Hide details

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