Question Answering
125 items from seriousran/awesome-qa ★771
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"Analyzing Language Learned by an Active Question Answering Agent" arxiv.org
, Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Wojciech Gajewski and Andrea Gesmundo and Neil Houlsby and Wei Wang, NIPS, 2017.
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https://arxiv.org/pdf/1712.07040v1.pdf arxiv.org
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"Learning to Skim Text" arxiv.org
, Adams Wei Yu, Hongrae Lee, Quoc V. Le, 2017. : Show only what you want in Text
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"Deep Joint Entity Disambiguation with Local Neural Attention" arxiv.org
, Octavian-Eugen Ganea and Thomas Hofmann, 2017.
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"Neural Paraphrase Identification of Questions with Noisy Pretraining" arxiv.org
, Gaurav Singh Tomar and Thyago Duque and Oscar Täckström and Jakob Uszkoreit and Dipanjan Das, SCLeM, 2017.
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"Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors" arxiv.org
, Radu Soricut, Nan Ding, 2018.
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https://arxiv.org/pdf/1611.09830.pdf arxiv.org
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"BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION" arxiv.org
, Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hananneh Hajishirzi, ICLR, 2017.
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"Learning Recurrent Span Representations for Extractive Question Answering" arxiv.org
, Kenton Lee and Shimi Salant and Tom Kwiatkowski and Ankur Parikh and Dipanjan Das and Jonathan Berant, ICLR, 2017.
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MINILM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers arxiv.org
, Wenhui Wang, et al., arXiv, 2020.
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T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer arxiv.org
, Colin Raffel, et al., arXiv preprint, 2019.
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ALBERT: A Lite BERT for Self-supervised Learning of Language Representations arxiv.org
, Zhenzhong Lan, et al., arXiv preprint, 2019.
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RoBERTa: A Robustly Optimized BERT Pretraining Approach arxiv.org
, Yinhan Liu, et al., arXiv preprint, 2019.
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ELI5: Long Form Question Answering arxiv.org
, Angela Fan, et al., ACL 2019, Jul 2019
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XLNet: Generalized Autoregressive Pretraining for Language Understanding arxiv.org
, Zhilin Yang, et al., arXiv preprint, 2019.
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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index arxiv.org
, Minjoon Seo, et al., ACL 2019, Jun 2019.
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Unsupervised Question Answering by Cloze Translation arxiv.org
, Patrick Lewis, et al., ACL 2019, Jun 2019.
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ERNIE: Enhanced Language Representation with Informative Entities arxiv.org
, Zhengyan Zhang, et al., ACL, 2019.
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Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader arxiv.org
, Wenhan Xiong, et al., ACL 2019, May 2019.
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BERT with History Answer Embedding for Conversational Question Answering arxiv.org
, Chen Qu, et al., arXiv preprint, May 2019.
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Investigating the Successes and Failures of BERT for Passage Re-Ranking arxiv.org
, Harshith Padigela, et al., arXiv preprint, May 2019.
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Understanding the Behaviors of BERT in Ranking arxiv.org
, Yifan Qiao, et al., arXiv preprint, Apr 2019.
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BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis arxiv.org
, Hu Xu, et al., arXiv preprint, Apr 2019.
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Episodic Memory Reader: Learning what to Remember for Question Answering from Streaming Data arxiv.org
, Moonsu Han, et al., ACL 2019, Mar 2019.
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End-to-End Open-Domain Question Answering with BERTserini arxiv.org
, Wei Yang, et al., arXiv preprint, Feb 2019.
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A BERT Baseline for the Natural Questions arxiv.org
, Chris Alberti, et al., arXiv preprint, Jan 2019.
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Passage Re-ranking with BERT arxiv.org
, Rodrigo Nogueira, et al., arXiv preprint, Jan 2019.
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SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering arxiv.org
, Chenguang Zhu, et al., arXiv, Dec 2018.
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, Daesik Kim, et al., ACL 2019, Nov 2018.
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding arxiv.org
, Jacob Devlin, et al., NAACL 2019, 2018.
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https://arxiv.org/abs/1806.03822 arxiv.org
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"FigureQA: An Annotated Figure Dataset for Visual Reasoning" arxiv.org
, Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Akos Kadar, Adam Trischler, Yoshua Bengio, ICLR, 2018
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https://arxiv.org/abs/1705.03551 arxiv.org
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"NewsQA: A Machine Comprehension Dataset" arxiv.org
, Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman, RepL4NLP, 2016.
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https://arxiv.org/abs/1611.09268 arxiv.org
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https://arxiv.org/abs/1606.05250 arxiv.org
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https://arxiv.org/abs/1604.01696 arxiv.org
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https://arxiv.org/abs/1506.03340 arxiv.org
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http://ai2-website.s3.amazonaws.com/publications/AI2ReasoningChallenge2018.pdf ai2-website.s3.amazonaws.com
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Natural Questions: a Benchmark for Question Answering Research ai.google
, Tom Kwiatkowski, et al., TACL 2019, Jan 2019.
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, Asma Ben Abacha, et al., ACL-W 2019, Aug 2019.
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CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense aclweb.org
, Michael Chen, et al., RepEval 2019, Jun 2019.
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SemEval-2019 Task 10: Math Question Answering aclweb.org
, Mark Hopkins, et al., ACL-W 2019, Jun 2019.
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"Medical Relation Extraction with Manifold Models" acl2014.org
, Chang Wang and James Fan, ACL, 2014.
