Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
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[1] Amir Saffari,et al. Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection , 2021, EMNLP.
[2] Amir Saffari,et al. End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs , 2021, EMNLP.
[3] Ashish Sabharwal,et al. ♫ MuSiQue: Multihop Questions via Single-hop Question Composition , 2021, TACL.
[4] Ji-Rong Wen,et al. A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions , 2021, IJCAI.
[5] Lei Hou,et al. TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph , 2021, EMNLP.
[6] Soujanya Poria,et al. Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering , 2021, ArXiv.
[7] Brian M. Sadler,et al. Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases , 2020, WWW.
[8] Colin Raffel,et al. mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer , 2020, NAACL.
[9] Holger Schwenk,et al. Beyond English-Centric Multilingual Machine Translation , 2020, J. Mach. Learn. Res..
[10] Apoorv Saxena,et al. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings , 2020, ACL.
[11] Danqi Chen,et al. Dense Passage Retrieval for Open-Domain Question Answering , 2020, EMNLP.
[12] Eunsol Choi,et al. TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages , 2020, Transactions of the Association for Computational Linguistics.
[13] William W. Cohen,et al. Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base , 2020, ICLR.
[14] Colin Raffel,et al. How Much Knowledge Can You Pack into the Parameters of a Language Model? , 2020, EMNLP.
[15] Myle Ott,et al. Unsupervised Cross-lingual Representation Learning at Scale , 2019, ACL.
[16] Jens Lehmann,et al. LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia , 2019, SEMWEB.
[17] Mikel Artetxe,et al. On the Cross-lingual Transferability of Monolingual Representations , 2019, ACL.
[18] Peter J. Liu,et al. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer , 2019, J. Mach. Learn. Res..
[19] Holger Schwenk,et al. MLQA: Evaluating Cross-lingual Extractive Question Answering , 2019, ACL.
[20] Ming-Wei Chang,et al. Natural Questions: A Benchmark for Question Answering Research , 2019, TACL.
[21] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[22] Gabriel Stanovsky,et al. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs , 2019, NAACL.
[23] Yoshua Bengio,et al. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering , 2018, EMNLP.
[24] Jonathan Berant,et al. The Web as a Knowledge-Base for Answering Complex Questions , 2018, NAACL.
[25] Tiejun Zhao,et al. Constraint-Based Question Answering with Knowledge Graph , 2016, COLING.
[26] Ming-Wei Chang,et al. The Value of Semantic Parse Labeling for Knowledge Base Question Answering , 2016, ACL.
[27] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[28] Jason Weston,et al. Key-Value Memory Networks for Directly Reading Documents , 2016, EMNLP.
[29] Andrew Chou,et al. Semantic Parsing on Freebase from Question-Answer Pairs , 2013, EMNLP.
[30] Muhammad Saleem,et al. 9th Challenge on Question Answering over Linked Data (QALD-9) (invited paper) , 2018, Semdeep/NLIWoD@ISWC.
[31] U.S. Census Bureau , 2006 .