The ACL RD-TEC 2.0

  Authors

QasemiZadeh, Behrang and Schumann, Anne-Kathrin

  Item identifier

http://hdl.handle.net/11372/LRT-1661

 Project URL

http://pars.ie/lr/acl_rd-tec

 Demo URL

http://pars.ie/downloads/lr/acl_rd-tec_2/example.xml

 Date issued

2016-03-07

 Type

corpus, text

 Size

6818 terms, 1384 sentences, 33216 tokens, 4849 semanticUnits, 300 texts, 7 lexicalTypes

 Language(s)

English

 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.

 Publisher

DFG Collaborative Research Centre 991, University of Duesseldorf

 

Department of Applied Linguistics, Translation and Interpreting, Saarland University

 Subject(s)

Terminology Term Extraction Term Classification Entity Recognition Evaluation Corpus Language Resource Gold Dataset Evaluation of Automatic Terminology Construction Methods

 Collection(s)

LRT + Open Submissions Data & Tools

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