OLAC Record oai:www.ldc.upenn.edu:LDC2013T22

Metadata
Title:		The ARRAU Corpus of Anaphoric Information
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Poesio, Massimo, et al. The ARRAU Corpus of Anaphoric Information LDC2013T22. Web Download. Philadelphia: Linguistic Data Consortium, 2013
Contributor:		Poesio, Massimo
		Artstein, Ron
		Uryupina, Olga
		Rodriguez, Kepa
		Delogu, Francesca
		Bristot, Antonella
		Hitzeman, Janet
Date (W3CDTF):		2013
Date Issued (W3CDTF):		2013-12-16
Description:		*Introduction* The ARRAU (Anaphora Resolution and Underspecification) Corpus of Anaphoric Information was developed by the University of Essex and the University of Trento. It contains annotations of multi-genre English texts for anaphoric relations with information about agreement and explicit representation of multiple antecedents for ambiguous anaphoric expressions and discourse antecedents for expressions which refer to abstract entities such as events, actions and plans. The source texts in this release include task-oriented dialogues from the TRAINS-91 and TRAINS-93 corpora (the latter released through LDC, TRAINS Spoken Dialog Corpus LDC95S25), narratives from the English Pear Stories (a collection of narratives by subjects who watched a film and then recounted its contents), articles from the Wall Street Journal portions of the Penn Treebank (Treebank-2 LDC95T7) and the RST Discourse Treebank LDC2002T07, and the Vieira/Poesio Corpus which consists of training and test files from Treebank-2 and RST Discourse Treebank. *Data* The texts were annotated using the ARRAU guidelines which treat all noun phrases (NPs) as markables. Different semantic roles are recognized by distinguishing between referring expressions (that update or refer to a discourse model), and non-referring ones (including expletives, predicative expressions, quantifiers, and coordination). A variety of linguistic features were also annotated, including morphosyntactic agreement, grammatical function, semantic type (person, animate, concrete, action, time, other abstract) and genericity. The annotation was carried out using the MMAX2 annotation tool which allows text units to be marked at different levels. The files in MMAX format have been organized so that they can be visualized using the MMAX2 tool or directly used as input/output for the BART toolkit which performs automatic coreference resolution including all necessary preprocessing steps. *Samples* Please view the following samplesL * Raw * PRD * Header *Updates* None at this time.
Extent:		Corpus size: 184570 KB
Identifier:		LDC2013T22
		https://catalog.ldc.upenn.edu/LDC2013T22
		ISBN: 1-58563-663-0
		ISLRN: 462-157-606-044-8
		DOI: 10.35111/y3mr-he10
Language:		English
Language (ISO639):		eng
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2013T22
Rights Holder:		Portions © 1987-1989 Dow Jones & Company, Inc., © 2001 Dr. Mary S. Erbaugh, © 2013 Massimo Poesio, © 1995, 1999, 2002, 2013 Trustees of the University of Pennsylvania
Type (DCMI):		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		The LDC Corpus Catalog
Description:		http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2013T22
DateStamp:		2021-09-09
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Poesio, Massimo; Artstein, Ron; Uryupina, Olga; Rodriguez, Kepa; Delogu, Francesca; Bristot, Antonella; Hitzeman, Janet. 2013. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Text iso639_eng olac_primary_text