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Item Overview of Arnekt IECSIL at Fire-2018 track on information extraction for conversational systems in Indian languages(CEUR-WS ceurws@sunsite.informatik.rwth-aachen.de, 2018) Barathi Ganesh, H.; Padannayil, K.P.; Reshma, U.; Kale, M.; Mankame, P.; Kulkarni, G.; Kale, A.; Anand Kumar, M.This 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.Item Overview of the second shared task on Indian native language identification (INLI)(CEUR-WS ceurws@sunsite.informatik.rwth-aachen.de, 2018) Anand Kumar, M.; Barathi Ganesh, H.; Ajay, S.G.; Padannayil, K.P.This overview paper describes the second shared task on Indian Native Language Identification (INLI) that was organized by FIRE 2018. Given a corpus with comments in English from various Facebook newspapers pages, the objective of the task is to identify the native language among the following six Indian languages: Bengali, Hindi, Kannada, Malayalam, Tamil, and Telugu. Altogether, 31 approaches of 14 different teams are evaluated. In this paper, we report the overview of the participant’s systems and the results of second INLI shared task. We have also compared the results of the first INLI shared task conducted with FIRE-2017. © 2018 CEUR-WS. All Rights Reserved.
