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RailwayReq Corpus

Name: RailwayReq Corpus
Keywords: ASP, Natural language processing, annotated, NER, named entity recognition, domain-specific, requirements engineering, logical formalisms, requirements, NLP

Dataset published alongside: "Optimizing Named Entity Recognition for Improving Logical Formulae Abstraction from Technical Requirements Documents"

Research datakeyboard_double_arrow_right Dataset 01 Jan 2023 English Publisher:Zenodo

Authors: Perko, Alexander; Zhao, Haoran; Wotawa, Franz;

doi: 10.5281/zenodo.11263941 , 10.5281/zenodo.11263940

RailwayReq Corpus

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Abstract

Please cite this dataset as Perko, A., Zhao, H. & Wotawa, F. (2023). Optimizing Named Entity Recognition for Improving Logical Formulae Abstraction from Technical Requirements Documents. In 2023 10th International Conference on Dependable Systems and Their Applications (DSA) (pp. 211-222). IEEE. https://ieeexplore.ieee.org/document/10314370 Dataset published alongside the paper: "Optimizing Named Entity Recognition for Improving Logical Formulae Abstraction from Technical Requirements Documents". This is a domain-specific NER corpus compiled from technical requirements documents published by the European Unions' railway agency [1], which are also part of the PURE data set of publicly available requirements documents [2]. This corpus was annotated to extract named entities for the generation of predicate-argument structres as used in logical formalisms. [1] European Union agency for railways. URL https://www.era.europa.eu [2] Ferrari, A., Spagnolo, G. O., & Gnesi, S. (2017, September). PURE: A dataset of public requirements documents. In 2017 IEEE 25th International Requirements Engineering Conference (RE) (pp. 502-505). IEEE.

Related Organizations

Drexel University
United States
Graz University of Technology
Austria

Keywords

ASP, Natural language processing, annotated, NER, named entity recognition, domain-specific, requirements engineering, logical formalisms, requirements, NLP, railway, answer set programming

1 Research products, page 1 of 1

PURE: a Dataset of Public Requirements Documents
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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RailwayReq Corpus

RailwayReq Corpus

1 Research products, page 1 of 1

PURE: a Dataset of Public Requirements Documents