OLAC Record

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 (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)
Term Extraction
Term Classification
Entity Recognition
Evaluation Corpus
Language Resource
Gold Dataset
Evaluation of Automatic Terminology Construction Methods
Type (DCMI):Text
Type (OLAC):primary_text


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
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OaiIdentifier:  oai:lindat.mff.cuni.cz:11372/LRT-1661
DateStamp:  2021-06-29
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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

Up-to-date as of: Thu Oct 5 0:40:27 EDT 2023