Overview of Arnekt IECSIL at Fire-2018 track on information extraction for conversational systems in Indian languages

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dc.contributor.authorBarathi Ganesh, H.
dc.contributor.authorPadannayil, K.P.
dc.contributor.authorReshma, U.
dc.contributor.authorKale, M.
dc.contributor.authorMankame, P.
dc.contributor.authorKulkarni, G.
dc.contributor.authorKale, A.
dc.contributor.authorAnand Kumar, M.
dc.date.accessioned2026-02-06T06:38:20Z
dc.date.issued2018
dc.description.abstractThis overview paper describes the first shared task on Information Extractor for Conversational Systems in Indian Languages (IECSIL) which has been organized by FIRE 2018. Motivated by the need of Information Extractor, corpora has been developed to perform the Named Entity Recognition (Task A) and Relation Extraction (Task B) for five Indian languages (Hindi, Tamil, Malayalam, Telugu and Kannada). Task A is to identify and classify the named entities to one of the many classes and Task B is to extract the relation among the entities present in the sentences. Altogether, nearly 100 submission of 10 different teams were evaluated. In this paper, we have given an overview of the approaches and also discussed the results that the participated teams have attained. © 2018 CEUR-WS. All Rights Reserved.
dc.identifier.citationCEUR Workshop Proceedings, 2018, Vol.2266, , p. 119-128
dc.identifier.issn16130073
dc.identifier.urihttps://doi.org/
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31607
dc.publisherCEUR-WS ceurws@sunsite.informatik.rwth-aachen.de
dc.subjectIECSIL
dc.subjectInformation Extractor
dc.subjectNamed Entity Recognition
dc.subjectRelation Extraction
dc.titleOverview of Arnekt IECSIL at Fire-2018 track on information extraction for conversational systems in Indian languages

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