Erotetic Reasoning Corpus. A data set for research on natural question processing

Autor:	Mariusz Urbański, Paweł Łupkowski, Andrzej Wiśniewski, Agata Juska, Anna Kostrzewa, Natalia Żyluk, Oliwia Ignaszak, Andrzej Gajda, Katarzyna Paluszkiewicz, Wojciech Błądek, Joanna Urbanska, Dominika Pankow, Bartosz Marciniak
Rok vydání:	2018
Předmět:	Linguistics and Language Process (engineering) Computer science business.industry P1-1091 erotetic reasoning corpus annotation computer.software_genre Computer Science Applications Data set question processing Annotation logic of questions Modeling and Simulation Natural (music) Artificial intelligence questions business Philology. Linguistics computer Natural language processing
Zdroj:	Journal of Language Modelling, Vol 5, Iss 3 (2018)
ISSN:	2299-8470 2299-856X
DOI:	10.15398/jlm.v5i3.190
Popis:	The aim of this paper is to present the Erotetic Reasoning Corpus (ERC) which constitutes a data set for research on natural question processing. We describe the theoretical background, linguistic data and tags used for the annotation process. We also discuss potential areas of ERC exploitation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49c9768908708516e64b960811c56478 https://doi.org/10.15398/jlm.v5i3.190 Zobrazit plný text záznamu