UKP ASPECT Corpus

The UKP ASPECT Corpus includes 3,595 sentence pairs over 28 controversial topics. The sentences were crawled from a large web crawl and identified as arguments for a given topic using the ArgumenText system. The sampling and matching of the sentence pairs is described in the paper. Then, the argument similarity annotation was done via crowdsourcing. Each crowd worker could choose from four annotation options (the exact guidelines are provided in the Appendix of the paper).

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998
Related Identifier https://aclanthology.org/P19-1054
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/1998
Provenance
Creator Daxenberger, Johannes; Eger, Steffen; Gurevych, Iryna
Publisher TU Darmstadt
Publication Year 2019
Rights CC BY-NC 3.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Text
Format application/zip
Discipline Other