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The paper presents RuBQ, the first Russian knowledge base question answering (KBQA) dataset.
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: SIGMOD. pp. 1247–1250 (2008)
2008
Earlier work this paper cites.
Ferrucci, D., Brown, E., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A.A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J., et al.: Building Watson: An overview of the DeepQA project. AI magazine 31
2010
Earlier work this paper cites.
Berant, J., Chou, A., Frostig, R., Liang, P.: Semantic parsing on freebase from question-answer pairs. In: EMNLP. pp. 1533–1544 (2013)
2013
Earlier work this paper cites.
Cai, Q., Yates, A.: Large-scale semantic parsing via schema matching and lexicon extension. In: ACL. pp. 423–433 (2013)
2013
Earlier work this paper cites.
Ipeirotis, P.G., Provost, F., Sheng, V.S., Wang, J.: Repeated labeling using multiple noisy labelers. Data Mining and Knowledge Discovery 28
2014
Earlier work this paper cites.
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Communications of the ACM 57
2014
Earlier work this paper cites.
2015
Earlier work this paper cites.
Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., Van Kleef, P., Auer, S., et al.: DBpedia–a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web 6
2015
Earlier work this paper cites.
Völske, M., et al.: What users ask a search engine: analyzing one billion Russian question queries. In: CIKM. pp. 1571–1580 (2015)
2015
Earlier work this paper cites.
Bao, J., Duan, N., Yan, Z., Zhou, M., Zhao, T.: Constraint-based question answering with knowledge graph. In: COLING. pp. 2503–2514 (2016)
2016
Earlier work this paper cites.
Pellissier Tanon, T., Vrandečić, D., Schaffert, S., Steiner, T., Pintscher, L.: From Freebase to Wikidata: The great migration. In: WWW. pp. 1419–1428 (2016)
2016
Earlier work this paper cites.
Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: SQuAD: 100,000+ questions for machine comprehension of text. In: EMNLP. pp. 2383–2392 (2016)
2016
Earlier work this paper cites.
Serban, I.V., García-Durán, A., Gulcehre, C., Ahn, S., Chandar, S., Courville, A., Bengio, Y.: Generating factoid questions with recurrent neural networks: The 30M factoid question-answer corpus. In: ACL. pp. 588–598 (2016)
2016
Earlier work this paper cites.
Su, Y., Sun, H., Sadler, B., Srivatsa, M., Gur, I., Yan, Z., Yan, X.: On generating characteristic-rich question sets for QA evaluation. In: EMNLP. pp. 562–572 (2016)
2016
Cited alongside, same era.
Yih, W.t., Richardson, M., Meek, C., Chang, M.W., Suh, J.: The value of semantic parse labeling for knowledge base question answering. In: ACL. pp. 201–206 (2016)
2016
Cited alongside, same era.
Diefenbach, D., Tanon, T.P., Singh, K.D., Maret, P.: Question answering benchmarks for Wikidata. In: ISWC (Posters & Demonstrations) (2017)
2017
Cited alongside, same era.
Hakimov, S., Jebbara, S., Cimiano, P.: AMUSE: multilingual semantic parsing for question answering over linked data. In: ISWC. pp. 329–346 (2017)
2017
Cited alongside, same era.
Indurthi, S.R., Raghu, D., Khapra, M.M., Joshi, S.: Generating natural language question-answer pairs from a knowledge graph using a RNN based question generation model. In: EACL. pp. 376–385 (2017)
Saha, A., Pahuja, V., Khapra, M.M., Sankaranarayanan, K., Chandar, S.: Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph. In: AAAI (2018)
2018
Later among the works it cites.
Talmor, A., Berant, J.: The Web as a knowledge base for answering complex questions. In: NAACL. pp. 641–651 (2018)
2018
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Usbeck, R., Gusmita, R.H., Axel-Cyrille Ngonga Ngomo, Saleem, M.: 9th challenge on question answering over linked data (QALD-9). In: SemDeep-4, NLIWoD4, and QALD-9 Joint Proceedings. pp. 58–64 (2018)
2018
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2019
Later among the works it cites.
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2017
Cited alongside, same era.
Joshi, M., Choi, E., Weld, D.S., Zettlemoyer, L.: TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension. In: ACL. pp. 1601–1611 (2017)
2017
Cited alongside, same era.
Levy, O., Seo, M., Choi, E., Zettlemoyer, L.: Zero-shot relation extraction via reading comprehension. In: CoNLL. pp. 333–342 (2017)
2017
Cited alongside, same era.
Trivedi, P., Maheshwari, G., Dubey, M., Lehmann, J.: LC-QuAD: A corpus for complex question answering over knowledge graphs. In: ISWC. pp. 210–218 (2017)
2017
Cited alongside, same era.
Burtsev, M., et al.: Deeppavlov: Open-source library for dialogue systems. In: ACL (System Demonstrations). pp. 122–127 (2018)
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Diefenbach, D., Singh, K.D., Maret, P.: WDAqua-core1: A question answering service for RDF knowledge bases. In: WWW Companion Volume. pp. 1087–1091 (2018)
2018
Cited alongside, same era.
Elsahar, H., Gravier, C., Laforest, F.: Zero-shot question generation from knowledge graphs for unseen predicates and entity types. In: NAACL. pp. 218–228 (2018)
2018
Cited alongside, same era.
2019
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Dubey, M., Banerjee, D., Abdelkawi, A., Lehmann, J.: LC-QuAD 2.0: A large dataset for complex question answering over Wikidata and DBpedia. In: ISWC (2019)
2019
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Jiang, K., Wu, D., Jiang, H.: FreebaseQA: A new factoid QA data set matching trivia-style question-answer pairs with Freebase. In: NAACL. pp. 318–323 (2019)
2019
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2019
Later among the works it cites.
Usbeck, R., Röder, M., Hoffmann, M., Conrads, F., Huthmann, J., Ngonga-Ngomo, A.C., Demmler, C., Unger, C.: Benchmarking question answering systems. Semantic Web 10
2019
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2019
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2020
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Keysers, D., Schärli, N., Scales, N., et al.: Measuring compositional generalization: A comprehensive method on realistic data. In: ICLR (2020)
2020
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Wu, Z., Kao, B., Wu, T.H., Yin, P., Liu, Q.: PERQ: Predicting, explaining, and rectifying failed questions in KB-QA systems. In: WSDM. pp. 663–671 (2020)
2020
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