OLAC Record oai:catalogue.elra.info:ELRA-T0375

Metadata
Title:		ACL RD-TEC: A Reference Dataset for Terminology Extraction and Classification Research in Computational Linguistics
Access Rights:		Rights available for: nonCommercialUse, commercialUse
Date Available (W3CDTF):		2014-12-31
Date Issued (W3CDTF):		2014-12-31
Date Modified (W3CDTF):		2014-12-31
Description:		Automatic Term Recognition (ATR) is a research task that deals with the identification of domain-specific terms. Terms, in simple words, are textual realization of significant concepts in an expertise domain. Additionally, domain-specific terms may be classified into a number of categories, in which each category represents a significant concept. A term classification task is often defined on top of an ATR procedure to perform such categorization. For instance, in the biomedical domain, terms can be classified as drugs, proteins, and genes. This is a reference dataset for terminology extraction and classification research in computational linguistics. It is a set of manually annotated terms in English language that are extracted from the ACL Anthology Reference Corpus (ACL ARC). The ACL ARC is a canonicalised and frozen subset of scientific publications in the domain of Human Language Technologies (HLT). It consists of 10,921 articles from 1965 to 2006. The dataset, called ACL RD-TEC, is comprised of more than 69,000 candidate terms that are manually annotated as valid and invalid terms. Furthermore, valid terms are classified as technology and non-technology terms. Technology terms refer to a method, process, or in general a technological concept in the domain of HLT, e.g. machine translation, word sense disambiguation, and language modelling. On the other hand, non-technology terms refer to important concepts other than technological; examples of such terms in the domain of HLT are multilingual lexicon, corpora, word sense, and language model. The dataset is created to serve as a gold standard for the comparison of the algorithms of term recognition and classification.
Identifier:		ELRA-T0375
		ISLRN: 699-305-362-089-6
Identifier (URI):		https://catalog.elra.info/en-us/repository/browse/ELRA-T0375/
Language:		English
Language (ISO639):		eng
Medium:		Not specified
Publisher:		ELRA (European Language Resources Association)
Type (DCMI):		Text
Type (OLAC):		lexicon
OLAC Info
Archive:		ELRA Catalogue of Language Resources
Description:		http://www.language-archives.org/archive/catalogue.elra.info
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:catalogue.elra.info:ELRA-T0375
DateStamp:		2014-12-31
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		n.a. 2014. ELRA (European Language Resources Association).
Terms:		area_Europe country_GB dcmi_Text iso639_eng olac_lexicon