OLAC Record oai:lindat.mff.cuni.cz:11372/LRT-1661

Metadata
Title:		The ACL RD-TEC 2.0
Bibliographic Citation:		http://hdl.handle.net/11372/LRT-1661
Creator:		QasemiZadeh, Behrang
		Schumann, Anne-Kathrin
Date (W3CDTF):		2016-03-07T17:34:32Z
Date Available:		2016-03-07T17:34:32Z
Description:		The ACL RD-TEC 2.0 has been developed with the aim of providing a benchmark for the evaluation of methods for terminology extraction and classification as well as entity recognition tasks based on specialised text from the computational linguistics domain. This release of the corpus consists of 300 abstracts from articles in the ACL Anthology Reference Corpus, published between 1978--2006. In these abstracts, terms (i.e., single or multi-word lexical units with a specialised meaning) are manually annotated. In addition to their boundaries in running text, annotated terms are classified into one of the seven categories method, tool, language resource (LR), LR product, model, measures and measurements, and other. To assess the quality of the annotations and to determine the difficulty of this task, more than 171 of the abstracts are annotated twice, independently, by each of the two annotators. In total, 6,818 terms are identified and annotated, resulting in a specialised vocabulary made of 3,318 lexical forms, mapped to 3,471 concepts.
Identifier (URI):		http://hdl.handle.net/11372/LRT-1661
Language:		English
Language (ISO639):		eng
Publisher:		DFG Collaborative Research Centre 991, University of Duesseldorf
		Department of Applied Linguistics, Translation and Interpreting, Saarland University
Rights:		Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
		http://creativecommons.org/licenses/by-nc-sa/4.0/
Subject:		Terminology
		Term Extraction
		Term Classification
		Entity Recognition
		Evaluation Corpus
		Language Resource
		Gold Dataset
		Evaluation of Automatic Terminology Construction Methods
Type:		corpus
Type (DCMI):		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:		http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:lindat.mff.cuni.cz:11372/LRT-1661
DateStamp:		2021-06-29
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		QasemiZadeh, Behrang; Schumann, Anne-Kathrin. 2016. DFG Collaborative Research Centre 991, University of Duesseldorf.
Terms:		area_Europe country_GB dcmi_Text iso639_eng olac_primary_text