Towards End-to-End Multilingual Question Answering

Author:

Loginova EkaterinaORCID,Varanasi Stalin,Neumann Günter

Funder

Bundesministerium für Bildung und Forschung

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Reference103 articles.

1. Aceves-Pérez, R.M., Montes-y Gómez, M., Villaseñor-Pineda, L. (2007) Enhancing cross-language question answering by combining multiple question translations. In: International Conference on Intelligent Text Processing and Computational Linguistics, Springer, pp 485–493.

2. Almarwani, N., Diab, M. (2017) GW\_QA at SemEval-2017 task 3: question answer re-ranking on Arabic fora. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp 344–348.

3. Attia, M., Samih, Y., Elkahky, A., Kallmeyer, L. (2018) Multilingual multi-class sentiment classification using convolutional neural networks. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018), European Language Resource Association, URL http://aclweb.org/anthology/L18-1101.

4. Bahdanau, D., Cho, K., Bengio, Y. (2014) Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:14090473.

5. Banerjee, S., Chakma, K., Naskar, S. K., Das, A., Rosso, P., Bandyopadhyay, S., & Choudhury, M. (2016a). Overview of the mixed script information retrieval (msir) at fire-2016. Organization (ORG), 67, 24.

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