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Factual Probing Is [MASK]: Learning vs. Learning to Recall


Apr 12, 2021
Zexuan Zhong, Dan Friedman, Danqi Chen

* NAACL 2021. The code is publicly available at https://github.com/princeton-nlp/OptiPrompt 

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Learning Dense Representations of Phrases at Scale


Jan 02, 2021
Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen

* 14 pages 

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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned


Jan 01, 2021
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

* 26 pages 

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Making Pre-trained Language Models Better Few-shot Learners


Dec 31, 2020
Tianyu Gao, Adam Fisch, Danqi Chen


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A Frustratingly Easy Approach for Joint Entity and Relation Extraction


Oct 24, 2020
Zexuan Zhong, Danqi Chen


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TextHide: Tackling Data Privacy in Language Understanding Tasks


Oct 12, 2020
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora

* Findings of EMNLP 2020 

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Dense Passage Retrieval for Open-Domain Question Answering


May 02, 2020
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

* corrected typos in Table 3; add a paragraph in Sec. 6.2 

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Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering


Nov 10, 2019
Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi


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MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension


Oct 22, 2019
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen

* EMNLP 2019 Workshop on Machine Reading for Question Answering 

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A Discrete Hard EM Approach for Weakly Supervised Question Answering


Sep 11, 2019
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

* Published as a conference paper at EMNLP 2019 (long). Code available at https://github.com/shmsw25/qa-hard-em 

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SpanBERT: Improving Pre-training by Representing and Predicting Spans


Jul 31, 2019
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy


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RoBERTa: A Robustly Optimized BERT Pretraining Approach


Jul 26, 2019
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov


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CoQA: A Conversational Question Answering Challenge


Aug 21, 2018
Siva Reddy, Danqi Chen, Christopher D. Manning


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Reading Wikipedia to Answer Open-Domain Questions


Apr 28, 2017
Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes

* ACL2017, 10 pages 

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A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task


Aug 08, 2016
Danqi Chen, Jason Bolton, Christopher D. Manning

* ACL 2016, updated results 

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Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors


Mar 16, 2013
Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng


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