O’Neill, A.: DictService: Word Dictionary Web Service (2011)
Benamara F.: Generating intensional answers in intelligent question answering systems. Lang. Gener. Nat. (2004). doi:10.1007/978-3-540-27823-8
Bizer, C.: The emerging web of linked data. Intelligent Systems, IEEE (2009). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5286174
Bosma, W.: Extending Answers Using Discourse Structure. In: Recent Advances in Natural Language Processing. Association for Computational Linguistics, Borovets, Bulgaria (2005). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.4051
Chen, B., Cherry, C., Canada, C.: A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU Boxing Chen and Colin Cherry. Assoc. Comput. Linguist. (ACL) 2, 362–367 (2014)
Demner-Fushman, D., Lin, J.: Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering. In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL – ACL ’06, pp. 841–848. Association for Computational Linguistics, Morristown, NJ, USA (2006). doi:10.3115/1220175.1220281. http://dl.acm.org/citation.cfm?id=1220175.1220281
Denkowski, M., Lavie, A.: Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems. ...In: Workshop on Statistical Machine Translation pp. 85–91 (2011). http://dl.acm.org/citation.cfm?id=2132969
Gao, J., He, X.: Training MRF-Based Phrase Translation Models using Gradient Ascent. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Atlanta (2013)
Gatt, A., Reiter, E.: SimpleNLG: a realisation engine for practical applications. In: Twelth European Workshop on Natural Language Generation, pp. 90–93. Association for Computational Linguistics, Athens, Greece (2009). http://dl.acm.org/citation.cfm?id=1610195.1610208
Ginzburg, J., Sag, I.A.: Interrogative Investigations. Stanford CSLI Publications, Stanford (2000)
Hirschman, L., Gaizauskas, R.: Natural language question answering: the view from here. Nat. Lang. Eng. 7(04), 275–300 (2001). doi:10.1017/S1351324901002807. http://dl.acm.org/citation.cfm?id=973890.973891
Kipper, K., Korhonen, A., Ryant, N., Palmer, M.: A large-scale classification of English verbs. Lang. Res. Eval. 42(1), 21–40 (2008). doi:10.1007/s10579-007-9048-2
Konstantinova, N., Orasan, C.: Interactive Question Answering. Emerging Applications of Natural Language Processing: Concepts and New Research pp. 149 –169 (2013). 10.4018/978-1-4666-2169-5.ch007. http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-2169-5
Lin, C.Y.: ROUGE: a Package for Automatic Evaluation of Summaries. In: Workshop on Text Summarization Branches Out. Association for Computational Linguistics, Barcelona, Spain (2004)
Lopez, V., Uren, V., Sabou, M., Motta, E.: Is question answering fit for the semantic web?: a survey. Semant. Web 2(2), 125–155 (2011). doi:10.3233/SW-2011-0041
Mann, W.C., Thompson, S.A.: Rhetorical structure theory: toward a functional theory of text organization. Text 8(3), 243–281 (1988)
Manning, C., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The Stanford CoreNLP Natural Language Processing Toolkit. In: The 52nd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Baltimore (2014)
de Marneffe, M.C., Dozat, T., Silveira, N., Haverinen, K., Ginter, F., Nivre, J., Manning, C.D.: Universal Stanford Dependencies: A cross-linguistic typology. In: 9th International Conference on Language Resources and Evaluation (LREC’14), pp. 4585–4592 (2014). papers3://publication/uuid/D4B7BB39-4FFB-4AA6-B21E-701A91F27739
Materna, P.: Question-like and non-question-like imperative sentences. Linguist. Philos. 4(3), 393–404 (1981). doi:10.1007/BF00304402
Maybury, M.: New directions in question answering. In: T. Strzalkowski, S.M. Harabagiu (eds.) Advances in Open Domain Question Answering, Text, Speech and Language Technology, vol. 32, chap. New Direct. Springer Netherlands, Dordrecht (2008). doi:10.1007/978-1-4020-4746-6
McGuinness, D.L.: Question answering on the semantic Web (2004). 10.1109/MIS.2004.1265890. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1265890
Mendes, A.C., Coheur, L.: When the answer comes into question in question–answering: survey and open issues. Nat. Lang. Eng. 19(1), 1–32 (2013). doi:10.1017/S1351324911000350. http://journals.cambridge.org/abstract_S1351324911000350
Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39–41 (1995)
Moriceau, V.: Numerical Data Integration for Cooperative Question–Answering. In: European Chapter of the Association for Computational Linguistics Workshop On KRAQ Knowledge And Reasoning For Language Processing, pp. 42–49. Association for Computational Linguistics (2006). http://dl.acm.org/citation.cfm?id=1641493.1641501
Nivre, J.: Dependency grammar and dependency parsing. MSI Rep. 5133(1959), 1–32 (2005)
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics—ACL ’02, pp. 311–318. Association for Computational Linguistics, Morristown, NJ, USA (2001). doi:10.3115/1073083.1073135. http://dl.acm.org/citation.cfm?id=1073083.1073135
Perera, R., Nand, P.: RealText cs—Corpus Based Domain Independent Content Selection Model. In: 26th IEEE International Conference on Tools with Artificial Intelligence. IEEE Press (2014)
Perera, R., Nand, P.: The role of linked data in content selection. Trends Artif. Intell. 8862, 573–586 (2014). doi:10.1007/978-3-319-13560-1_46
Perera, R., Nand, P.: A Multi-strategy Approach for Lexicalizing Linked Open Data. Computational Linguistics and Intelligent Text Processing (2015). doi:10.1007/978-3-319-18117-2_26
Perera, R., Nand, P., Klette, G.: RealText lex : A Lexicalization Framework for Linked Open Data. In: Internationa Semantic Web Conference (ISWC)—Demonstration, pp. 1–4 (2015)
Porter, M.F.: An algorithm for suffix stripping. Program. 14(3), 130–137 (1980). doi:10.1108/00330330610681286
Radev, D.R., Jing, H., Budzikowska, M.: Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies. Information Processing and Management 40.6 (2004): 919–938. p. 10 (2000). doi:10.1016/j.ipm.2003.10.006. http://arxiv.org/abs/cs/0005020
Santorini, B., Kroch, A.: The syntax of natural language: An online introduction using the Trees program (2007). http://www.ling.upenn.edu/~beatrice/syntax-textbook
Vargas-Vera, M., Motta, E.: AQUA-ontology-based question answering system. In: Mexican International Conference on Artificial Intelligence. Springer-Verlag, Mexico City, (2004). http://link.springer.com/chapter/10.1007/978-3-540-24694-7_48
Webber, B., Gardent, C., Bos, J.: Position statement: Inference in question answering. Proceedings of LREC (2002)
Yu, H., Lee, M., Kaufman, D., Ely, J., Osheroff, J.A., Hripcsak, G., Cimino, J.: Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. J. Biomed. Inform. 40, 236–251 (2007). doi:10.1016/j.jbi.2007.03.002
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