Multilingmine 2016: Modeling, learning and mining for cross/multilinguality

Dino Ienco, Mathieu Roche, Salvatore Romeo, Paolo Rosso, Andrea Tagarelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing availability of text information coded in many different languages poses new challenges to modern information retrieval and mining systems in order to discover and exchange knowledge at a larger world-wide scale. The 1st International Workshop on Modeling, Learning and Mining for Cross/Multilinguality (dubbed MultiLingMine 2016) provides a venue to discuss research advances in cross-/multilingual related topics, focusing on new multidisciplinary research questions that have not been deeply investigated so far (e.g., in CLEF and related events relevant to CLIR). This includes theoretical and experimental ongoing works about novel representation models, learning algorithms, and knowledge-based methodologies for emerging trends and applications, such as, e.g., cross-view cross-/multilingual information retrieval and document mining, (knowledge-based) translation-independent cross-/ multilingual corpora, applications in social network contexts, and more.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Proceedings
PublisherSpringer Verlag
Pages869-873
Number of pages5
ISBN (Print)9783319306704
DOIs
Publication statusPublished - 1 Jan 2016
Event38th European Conference on Information Retrieval Research, ECIR 2016 - Padua, Italy
Duration: 20 Mar 201623 Mar 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9626
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other38th European Conference on Information Retrieval Research, ECIR 2016
CountryItaly
CityPadua
Period20/3/1623/3/16

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ienco, D., Roche, M., Romeo, S., Rosso, P., & Tagarelli, A. (2016). Multilingmine 2016: Modeling, learning and mining for cross/multilinguality. In Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Proceedings (pp. 869-873). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9626). Springer Verlag. https://doi.org/10.1007/978-3-319-30671-1_83