Generating factoid questionswith recurrent neural networks: The 30M factoid question-answer corpus

54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers

Volumn 1, Issue , 2016, Pages 588-598

  Serban, Iulian Vlad ^a   García Durán, Alberto ^b   Gulcehre, Caglar ^a   Ahn, Sungjin ^a   Chandar, Sarath ^a   Courville, Aaron ^a   Bengio, Yoshua ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INTELLIGENT SYSTEMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; LINGUISTICS; NETWORK ARCHITECTURE; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS;

AUTOMATIC EVALUATION; EVALUATION CRITERIA; FACTOID QUESTIONS; MACHINE TRANSLATIONS; NATURAL LANGUAGE QUESTIONS; NOVEL NEURAL NETWORK; QUESTION-ANSWER PAIRS; SENTENCE SIMILARITY;

QUALITY CONTROL;

EID: 85011954479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. [Ali et al.2010] Husam Ali, Yllias Chali, and Sadid A Hasan. 2010. Automation of question generation from sentences. In Proceedings of QG2010: The Third Workshop on Question Generation, pages 58- 67.
2. [Bahdanau et al.2015] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In International Conference on Learning Representations.
3. [Banerjee and Lavie2005] Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for mt evaluation with improved correlation with human judgments. In ACL, Workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization, pages 65-72.
4. [Bengio2012] Yoshua Bengio. 2012. Practical recommendations for gradient-based training of deep architectures. In Neural Networks: Tricks of the Trade, pages 437-478. Springer.
5. [Berant and Liang2014] Jonathan Berant and Percy Liang. 2014. Semantic parsing via paraphrasing. In ACL, pages 1415-1425.
6. [Bollacker et al.2008] Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pages 1247- 1250.
7. [Bordes et al.2011] Antoine Bordes, Jason Weston, Ronan Collobert, and Yoshua Bengio. 2011. Learning structured embeddings of knowledge bases. In AAAI 2011.
8. [Bordes et al.2013] Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems, pages 2787- 2795.
9. [Bordes et al.2014] Antoine Bordes, Jason Weston, and Nicolas Usunier. 2014. Open question answering with weakly supervised embedding models. In Machine Learning and Knowledge Discovery in Databases - European Conference, (ECML PKDD), pages 165-180.
10. [Bordes et al.2015] Antoine Bordes, Nicolas Usunier, Sumit Chopra, and Jason Weston. 2015. Largescale simple question answering with memory networks. arXiv preprint arXiv: 1506.02075.
11. [Chen et al.2009] Wei Chen, Gregory Aist, and Jack Mostow. 2009. Generating questions automatically from informational text. In Proceedings of the 2nd Workshop on Question Generation (AIED 2009), pages 17-24.
12. [Chen et al.2015] Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, and C. Lawrence Zitnick. 2015. Microsoft COCO captions: Data collection and evaluation server. arXiv preprint arXiv: 1504.00325.
13. [Cho et al.2014] Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1724-1734.
14. [Curto et al.2012] Sergio Curto, A Mendes, and Luisa Coheur. 2012. Question generation based on lexicosyntactic patterns learned from the web. Dialogue and Discourse, 3(2): 147-175.
15. [Duma and Klein2013] Daniel Duma and Ewan Klein. 2013. Generating natural language from linked data: Unsupervised template extraction. ACL, pages 83- 94.
16. [Dumais et al.2002] Susan Dumais, Michele Banko, Eric Brill, Jimmy Lin, and Andrew Ng. 2002. Web question answering: Is more always better? In Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 291-298.
17. [Greff et al.2015] Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R Steunebrink, and Jürgen Schmidhuber. 2015. LSTM: A search space odyssey. arXiv preprint arXiv: 1503.04069.
18. [Kalady et al.2010] Saidalavi Kalady, Ajeesh Elikkottil, and Rajarshi Das. 2010. Natural language question generation using syntax and keywords. In Proceedings of QG2010: The Third Workshop on Question Generation, pages 1-10. questiongeneration. org.
19. [Kingma and Ba2015] Diederik Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In International Conference on Learning Representations.
20. [Lenat and Guha1989] Douglas B. Lenat and Ramanathan V. Guha. 1989. Building large knowledge-based systems; representation and inference in the Cyc project. Addison-Wesley Longman Publishing Co., Inc.
21. [Lopez et al.2011] Vanessa Lopez, Victoria Uren, Marta Sabou, and Enrico Motta. 2011. Is question answering fit for the semantic web? a survey. Semantic Web, 2(2): 125-155.
22. [Luong et al.2015] Minh-Thang Luong, Ilya Sutskever, Quoc V Le, Oriol Vinyals, and Wojciech Zaremba. 2015. Addressing the rare word problem in neural machine translation. In ACL, pages 11-19.
23. [Mannem et al.2010] Prashanth Mannem, Rashmi Prasad, and Aravind Joshi. 2010. Question generation from paragraphs at upenn: Qgstec system description. In Proceedings of QG2010: The Third Workshop on Question Generation, pages 84-91.
24. [Mikolov et al.2013] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, pages 3111-3119.
25. [Olney et al.2012] Andrew M Olney, Arthur C Graesser, and Natalie K Person. 2012. Question generation from concept maps. Dialogue and Discourse, 3(2): 75-99.
26. [Papineni et al.2002] Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: A method for automatic evaluation of machine translation. In ACL, pages 311-318.
27. [Rus and Lintean2012] Vasile Rus and Mihai Lintean. 2012. A comparison of greedy and optimal assessment of natural language student input using wordto- word similarity metrics. In Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, NAACL, pages 157-162.
28. [Rus et al.2010] Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2010. The first question generation shared task evaluation challenge. In Proceedings of the 6th International Natural Language Generation Conference, pages 251-257.
29. [Sutskever et al.2014] Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems.
30. [Voorhees and Tice2000] Ellen M Voorhees and DM Tice. 2000. Overview of the trec-9 question answering track. In TREC.
31. [Vrande?cíc and Krötzsch2014] Denny Vrandecíc and Markus Krötzsch. 2014. Wikidata: A free collaborative knowledgebase. Communications of the ACM, 57(10): 78-85.
32. [Yao and Zhang2010] Xuchen Yao and Yi Zhang. 2010. Question generation with minimal recursion semantics. In Proceedings of QG2010: The Third Workshop on Question Generation, pages 68-75.
33. [Yao et al.2012] Xuchen Yao, Gosse Bouma, and Yi Zhang. 2012. Semantics-based question generation and implementation. Dialogue and Discourse, 3(2): 11-42.