A Multi-lingual Approach to Improve Passage Retrieval for Automatic Question Answering

Author:

Othman Nouha,Faiz Rim

Publisher

Springer International Publishing

Reference21 articles.

1. Abacha, A.B., Zweigenbaum, P.: MEANS: a medical question-answering system combining NLP techniques and semantic web technologies. IPM 51(5), 570–594 (2015)

2. Araki, J., Callan, J.: An annotation similarity model in passage ranking for historical fact validation. In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in IR, pp. 1111–1114. ACM (2014)

3. Bilotti, M.W., Elsas, J., Carbonell, J., Nyberg, E.: Rank learning for factoid question answering with linguistic and semantic constraints. In: Proceedings of the 19th ACM International Conference on Information and KM, pp. 459–468. ACM (2010)

4. Buscaldi, D., Le Roux, J., Flores, J.J.G., Popescu, A.: Lipn-core: semantic text similarity using n-grams, wordnet, syntactic analysis, esa and information retrieval based features. In: Proceedings of the 2nd Joint Conference on LCS, p. 63 (2013)

5. Buscaldi, D., Rosso, P., Gómez-Soriano, J.M., Sanchis, E.: Answering questions with an n-gram based passage retrieval engine. JIIS 34(2), 113–134 (2010)

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