IKAT-EN

DOI

A corpus consisting of high-quality human annotations of missing and implied information in argumentative texts (English version). The data is further annotated with semantic clause types and commonsense knowledge relations.

Source Code also available at GitHub: https://github.com/Heidelberg-NLP/IKAT-EN.

Identifier
DOI https://doi.org/10.11588/data/RUBM2E
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/RUBM2E
Provenance
Creator Becker, Maria
Publisher heiDATA
Contributor Becker, Maria
Publication Year 2024
Funding Reference DFG SPP-1999 ; DFG FR1707/-4-1 ; Leibniz-Gesellschaft und Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg SAS-2015-IDS-LWC
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Becker, Maria (Heidelberg, University, Department of Computational Linguistics)
Representation
Resource Type Dataset
Format application/pdf; text/tab-separated-values; text/plain
Size 1829695; 582167; 2438; 3749; 2900; 3692; 4354; 3465; 3053; 4198; 3238; 4000; 1704; 4132; 5734; 6531; 4666; 6036; 4730; 3862; 3747; 4798; 1930; 3774; 3263; 3960; 4376; 9179; 4260; 5718; 2967; 3696; 3229; 2095; 2283; 4978; 6140; 5080; 4647; 5223; 6142; 4365; 6204; 5007; 2964; 3659; 2631; 3779; 4392; 4965; 3959; 5536; 4025; 5578; 4902; 6217; 5859; 5818; 5592; 3763; 4797; 1970; 6199; 6599; 1911; 4475; 2655; 5064; 5585; 4845; 3606; 4128; 2174; 4088; 3135; 3351; 3470; 2698; 4268; 3201; 2415; 3404; 2719; 2086; 5251; 2501; 5947; 5176; 4811; 6272; 4511; 6367; 2209; 5345; 6949; 8153; 5301; 5236; 3898; 2915; 3375; 5681; 5905; 8112; 2761; 4592; 5473; 4285; 5747; 4231; 3944; 4780; 4346; 5604
Version 1.0
Discipline Humanities