Resource: BOLT English Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech
Reference | BOLT English Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech |
Date of Submission | Dec. 16, 2020, 8:16 p.m. |
Status | accepted |
ISLRN | 494-155-932-422-8 |
Resource Type | Primary Text |
Media Type | Text |
Source | |
Language | English |
Format/MIME Type | text/plain |
Size | 13290 KB |
Access Medium | Web Download |
Description | *Introduction* BOLT English Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech was developed by Raytheon BBN Technologies and consists of co-reference annotation on English discussion forum (DF), SMS/Chat and conversational telephone speech (CTS). The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. The Linguistic Data Consortium (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. Co-reference annotation aims to fill in all of the connections between specific mentions in the text that refer to the same entities and events in the discourse context. BOLT co-reference annotation was performed on BOLT treebank annotation. It covers noun phrases (including proper nouns, nominals, pronouns and null arguments), possessives, proper noun pre-modifiers and verbs. Annotation files are presented in UTF-8 encoded XML format. *Acknowledgements* 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.
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Version | 1.0 |
Creator | Sameer Pradhan , Nitin Agarwal , Michelle Franchini , Michelle Kappler , Linnea Micciulla , Lance Ramshaw |
Distributor | Linguistic Data Consortium |
Rights Holder | Portions © 1996, 1997, 2011- 2020 Trustees of the University of Pennsylvania |