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2017 | OriginalPaper | Buchkapitel

Quora Question Answer Dataset

verfasst von : Ahmad Aghaebrahimian

Erschienen in: Text, Speech, and Dialogue

Verlag: Springer International Publishing

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Abstract

We report on a progressing work for compiling Quora Question Answer dataset. Quora dataset is composed of questions which are posed in Quora Question Answering site. It is the only dataset which provides sentence-level and word-level answers at the same time. Moreover, the questions in the dataset are authentic which is much more realistic for Question Answering systems. We test the performance of a state-of-the-art Question Answering system on the dataset and compare it with human performance to establish an upper bound.

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Fußnoten
1
Quora dataset is available at https://​github.​com/​Q2AD.
 
2
The choice of development size is given to the preference of researchers and the attributes of their experiments.
 
3
Some users in Quora provides their questions with a comment which helps to clarify the question better.
 
Literatur
1.
Zurück zum Zitat Aghaebrahimian, A.: Constrained deep answer sentence selection. In: Proceedings of the 20th International Conference on Text, Speech and Dialogue (TSD) (2017) Aghaebrahimian, A.: Constrained deep answer sentence selection. In: Proceedings of the 20th International Conference on Text, Speech and Dialogue (TSD) (2017)
2.
Zurück zum Zitat Aghaebrahimian, A., Jurčíček, F.: Open-domain factoid question answering via knowledge graph search. In: Proceedings of the Workshop on Human-Computer Question Answering, The North American Chapter of the Association for Computational Linguistics (NAACL) (2016) Aghaebrahimian, A., Jurčíček, F.: Open-domain factoid question answering via knowledge graph search. In: Proceedings of the Workshop on Human-Computer Question Answering, The North American Chapter of the Association for Computational Linguistics (NAACL) (2016)
3.
Zurück zum Zitat Bollacker, K., Tufts, P., Pierce, T., Robert, C.: A platform for scalable, collaborative, structured information integration. In: Proceedings of the Sixth International Workshop on Information Integration on the Web (2007) Bollacker, K., Tufts, P., Pierce, T., Robert, C.: A platform for scalable, collaborative, structured information integration. In: Proceedings of the Sixth International Workshop on Information Integration on the Web (2007)
4.
Zurück zum Zitat Bordes, A., Usunier, N., Chopra, S., Weston, J.: Large-scale simple question answering with memory networks. arxiv:1506.02075 (2015) Bordes, A., Usunier, N., Chopra, S., Weston, J.: Large-scale simple question answering with memory networks. arxiv:​1506.​02075 (2015)
5.
Zurück zum Zitat Hermann, K.M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., Blunsom, P.: Teaching machines to read and comprehend. In: Advances in Neural Information Processing Systems (2015) Hermann, K.M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., Blunsom, P.: Teaching machines to read and comprehend. In: Advances in Neural Information Processing Systems (2015)
6.
Zurück zum Zitat Hill, F., Bordes, A., Chopra, S., Weston, J.: The goldilocks principle: reading children’s books with explicit memory representations. arxiv:1511.02301 (2015) Hill, F., Bordes, A., Chopra, S., Weston, J.: The goldilocks principle: reading children’s books with explicit memory representations. arxiv:​1511.​02301 (2015)
7.
Zurück zum Zitat Kadlec, R., Schmid, M., Bajgar, O., Kleindienst, J.: Text understanding with the attention sum reader network. In: Proceedings of the Association for Computational Linguistics (2016) Kadlec, R., Schmid, M., Bajgar, O., Kleindienst, J.: Text understanding with the attention sum reader network. In: Proceedings of the Association for Computational Linguistics (2016)
8.
Zurück zum Zitat Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: Squad: 100,000+ questions for machine comprehension of text. arxiv:1606.05250 (2016) Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: Squad: 100,000+ questions for machine comprehension of text. arxiv:​1606.​05250 (2016)
9.
Zurück zum Zitat Rao, J., He, H., Lin, J.: Noise-contrastive estimation for answer selection with deep neural networks. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (2016) Rao, J., He, H., Lin, J.: Noise-contrastive estimation for answer selection with deep neural networks. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (2016)
10.
Zurück zum Zitat Richardson, M., Burges, J.C., C., Erin, R.: MCTest: a challenge dataset for the open-domain machine comprehension of text. In: Empirical Methods in Natural Language Processing (EMNLP) (2013) Richardson, M., Burges, J.C., C., Erin, R.: MCTest: a challenge dataset for the open-domain machine comprehension of text. In: Empirical Methods in Natural Language Processing (EMNLP) (2013)
12.
Zurück zum Zitat Voorhees, E.M., Tice, D.M.: Building a question answering test collection. In: ACM Special Interest Group on Information Retreival (SIGIR) (2000) Voorhees, E.M., Tice, D.M.: Building a question answering test collection. In: ACM Special Interest Group on Information Retreival (SIGIR) (2000)
13.
Zurück zum Zitat Yang, Y., Yih, S.W.T., Meek, C.: WikiQA: a challenge dataset for open-domain question answering. In: Empirical Methods in Natural Language Processing (EMNLP) (2015) Yang, Y., Yih, S.W.T., Meek, C.: WikiQA: a challenge dataset for open-domain question answering. In: Empirical Methods in Natural Language Processing (EMNLP) (2015)
Metadaten
Titel
Quora Question Answer Dataset
verfasst von
Ahmad Aghaebrahimian
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-64206-2_8