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MSIR@FIRE: A Comprehensive Report from 2013 to 2016

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MSIR@FIRE: A Comprehensive Report from 2013 to 2016

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dc.contributor.author Banerjee, Somnath es_ES
dc.contributor.author Choudhury, Monojit es_ES
dc.contributor.author Chakma, Kunal es_ES
dc.contributor.author Kumar Naskar, Sudip es_ES
dc.contributor.author Das, Amitava es_ES
dc.contributor.author Bandyopadhyay, Sivaji es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2021-11-05T14:10:50Z
dc.date.available 2021-11-05T14:10:50Z
dc.date.issued 2020 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176432
dc.description.abstract [EN] India is a nation of geographical and cultural diversity where over 1600 dialects are spoken by the people. With the technological advancement, penetration of the internet and cheaper access to mobile data, India has recently seen a sudden growth of internet users. These Indian internet users generate contents either in English or in other vernacular Indian languages. To develop technological solutions for the contents generated by the Indian users using the Indian languages, the Forum for Information Retrieval Evaluation (FIRE) was established and held for the first time in 2008. Although Indian languages are written using indigenous scripts, often websites and user-generated content (such as tweets and blogs) in these Indian languages are written using Roman script due to various socio-cultural and technological reasons. A challenge that search engines face while processing transliterated queries and documents is that of extensive spelling variation. MSIR track was first introduced in 2013 at FIRE and the aim of MSIR was to systematically formalize several research problems that one must solve to tackle the code mixing in Web search for users of many languages around the world, develop related data sets, test benches and most importantly, build a research community focusing on this important problem that has received very little attention. This document is a comprehensive report on the 4 years of MSIR track evaluated at FIRE between 2013 and 2016. es_ES
dc.description.sponsorship Somnath Banerjee and Sudip Kumar Naskar are supported by Media Lab Asia, MeitY, Government of India, under the Visvesvaraya PhD Scheme for Electronics & IT. The work of Paolo Rosso was partially supported by the MISMIS research project PGC2018-096212-B-C31 funded by the Spanish MICINN. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof SN Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Information retrieval es_ES
dc.subject Indian languages es_ES
dc.subject Social media es_ES
dc.subject Transliterated search es_ES
dc.subject Code-mixed QA es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title MSIR@FIRE: A Comprehensive Report from 2013 to 2016 es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s42979-019-0058-0 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096212-B-C31/ES/DESINFORMACION Y AGRESIVIDAD EN SOCIAL MEDIA: AGREGANDO INFORMACION Y ANALIZANDO EL LENGUAJE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Banerjee, S.; Choudhury, M.; Chakma, K.; Kumar Naskar, S.; Das, A.; Bandyopadhyay, S.; Rosso, P. (2020). MSIR@FIRE: A Comprehensive Report from 2013 to 2016. SN Computer Science. 1(55):1-15. https://doi.org/10.1007/s42979-019-0058-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s42979-019-0058-0 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1 es_ES
dc.description.issue 55 es_ES
dc.identifier.eissn 2661-8907 es_ES
dc.relation.pasarela S\434253 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
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