OLAC Record oai:www.ldc.upenn.edu:LDC2021T09

Metadata
Title:		X-SRL: Parallel Cross-lingual Semantic Role Labeling
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Daza, Angel, and Anette Frank. X-SRL: Parallel Cross-lingual Semantic Role Labeling LDC2021T09. Web Download. Philadelphia: Linguistic Data Consortium, 2021
Contributor:		Daza, Angel
		Frank, Anette
Date (W3CDTF):		2021
Date Issued (W3CDTF):		2021-04-15
Description:		*Introduction* X-SRL: Parallel Cross-lingual Semantic Role Labeling was developed by Heidelberg University, Department of Computational Linguistics and the Leibniz Institute for the German Language (IDS). It consists of approximately three million words of German, French and Spanish annotated for semantic role labeling. The texts are translations of the English portion of 2009 CoNLL Shared Task Part 2 (LDC2012T04). All sentences have annotations for verbal predicates and share the original English Propbank label set across the four languages. *Data* The 2009 CoNLL Shared Task developed syntactic dependency annotations, including the semantic dependency model roles of both verbal and nominal predicates. The following English data was used in the shared task: * Treebank-2 (LDC95T7): over one million words of annotated English newswire and other text developed by the University of Pennsylvania * Proposition Bank I (LDC2004T14): semantic annotation of newswire text from Treebank-2 developed by the University of Pennsylvania * NomBank v 1.0 (LDC2008T23): argument structure for instances of common nouns in Treebank-2 and Treebank-3 (LDC99T42), developed by New York University For X-SRL, the English source data was automatically translated using DeepL. Automatic tokenization, lemmatization, part-of-speech tagging and syntactic parsing were then applied to the text. The data was divided into train, development and test partitions. Semantic labels were transferred for the train and development sections, and the test sentences were validated for translation quality, alignment, label transfer, and filtering. More information on the development process and tools used is available in the included documentation. Annotated data is in the Universal CoNLL format and encoded in UTF-8. *Sponsorship* The creation of this corpus was funded by the Leibniz ScienceCampus "Empirical Linguistics and Computational Language Modeling" supported by Leibniz Association (grant no. SAS2015-IDS-LWC) and by the Ministry of Science, Research, and Art of Baden-Wurttemberg. *Samples* Please view this text sample (TXT) and annotation sample (TXT). *Updates* None at this time.
Extent:		Corpus size: 73580 KB
Identifier:		LDC2021T09
		https://catalog.ldc.upenn.edu/LDC2021T09
		ISBN: 1-58563-962-1
		ISLRN: 416-358-951-021-2
		DOI: 10.35111/10zk-gq05
Language:		German
		Spanish
		French
Language (ISO639):		deu
		spa
		fra
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/LDC2021T09
Rights Holder:		Portions © 1987-1989 Dow Jones & Company, Inc., © 2021 Department of Computational Linguistics, Heidelberg University, © 2021 Leibniz Institute for the German Language (IDS), © 1993-1995, 1999, 2004, 2008, 2012, 2021 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:LDC2021T09
DateStamp:		2022-01-01
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Daza, Angel; Frank, Anette. 2021. Linguistic Data Consortium.
Terms:		area_Europe country_DE country_ES country_FR dcmi_Text iso639_deu iso639_fra iso639_spa olac_primary_text