Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016

Author:

Banerjee Somnath,Chakma Kunal,Naskar Sudip Kumar,Das Amitava,Rosso Paolo,Bandyopadhyay Sivaji,Choudhury Monojit

Publisher

Springer International Publishing

Reference18 articles.

1. Ahmed, U.Z., Bali, K., Choudhury, M., Sowmya, V.B.: Challenges in designing input method editors for Indian languages: the role of word-origin and context. In: Advances in Text Input Methods (WTIM 2011), pp. 1–9 (2011)

2. Banerjee, S., Naskar, S.K., Rosso, P., Bandyopadhyay, S.: The first cross-script code-mixed question answering corpus. In: Proceedings of the workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine 2016), Co-located with the 38th European Conference on Information Retrieval (ECIR) (2016)

3. Bhardwaj, P., Pakray, P., Bajpeyee, V., Taneja, A.: Information retrieval on code-mixed Hindi-English tweets. In: Working Notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, 7–10 December 2016, CEUR Workshop Proceedings, December 2016

4. Bhargava, R., Khandelwal, S., Bhatia, A., Sharmai, Y.: Modeling classifier for code mixed cross script questions. In: Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, 7–10 December 2016, CEUR Workshop Proceedings, CEUR-WS.org (2016)

5. Bhattacharjee, D., Bhattacharya, P.: Ensemble classifier based approach for code-mixed cross-script question classification. In: Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, 7–10 December 2016, CEUR Workshop Proceedings, CEUR-WS.org (2016)

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