Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jordan Boyd-Graber

What's in a Name? Answer Equivalence For Open-Domain Question Answering


Sep 11, 2021
Chenglei Si, Chen Zhao, Jordan Boyd-Graber

* EMNLP 2021 main conference 

  Access Paper or Ask Questions

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence


Jul 05, 2021
Alexander Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan Boyd-Graber, Philip Resnik


  Access Paper or Ask Questions

Adaptive Active Learning for Coreference Resolution


Apr 15, 2021
Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan Boyd-Graber


  Access Paper or Ask Questions

Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering


Apr 15, 2021
Maharshi Gor, Kellie Webster, Jordan Boyd-Graber


  Access Paper or Ask Questions

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval


Apr 13, 2021
Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber, Hal Daumé III

* NAACL 2021 

  Access Paper or Ask Questions

Fool Me Twice: Entailment from Wikipedia Gamification


Apr 10, 2021
Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan Boyd-Graber

* Published in NAACL 2021 

  Access Paper or Ask Questions

Complex Factoid Question Answering with a Free-Text Knowledge Graph


Mar 23, 2021
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber

* WWW2020 

  Access Paper or Ask Questions

ClimaText: A Dataset for Climate Change Topic Detection


Jan 02, 2021
Francesco S. Varini, Jordan Boyd-Graber, Massimiliano Ciaramita, Markus Leippold

* Accepted for the Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 

  Access Paper or Ask Questions

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims


Jan 02, 2021
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold

* Accepted for the Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Cold-start Active Learning through Self-supervised Language Modeling


Oct 22, 2020
Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber

* Published in EMNLP 2020 

  Access Paper or Ask Questions

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries


Oct 21, 2020
Tianze Shi, Chen Zhao, Jordan Boyd-Graber, Hal Daumé III, Lillian Lee

* Findings of ACL: EMNLP 2020 
* Findings of ACL: EMNLP 2020 

  Access Paper or Ask Questions

Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries


May 01, 2020
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan Boyd-Graber

* ACL 2020 

  Access Paper or Ask Questions

Meta Answering for Machine Reading


Nov 11, 2019
Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu


  Access Paper or Ask Questions

Interactive Refinement of Cross-Lingual Word Embeddings


Nov 08, 2019
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber

* First two authors contribute equally 

  Access Paper or Ask Questions

What Question Answering can Learn from Trivia Nerds


Nov 01, 2019
Jordan Boyd-Graber


  Access Paper or Ask Questions

Mitigating Noisy Inputs for Question Answering


Aug 08, 2019
Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan Boyd-Graber


  Access Paper or Ask Questions

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity


Jun 05, 2019
Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul

* Accepted to ACL 2019, camera-ready 

  Access Paper or Ask Questions

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization


Jun 05, 2019
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber

* ACL 2019 

  Access Paper or Ask Questions

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models


Jun 04, 2019
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, Jordan Boyd-Graber

* In proceedings of ACL 2019 

  Access Paper or Ask Questions

Automatic Evaluation of Local Topic Quality


May 18, 2019
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, Kevin Seppi

* 8 pages 4 figures 3 tables 

  Access Paper or Ask Questions

Misleading Failures of Partial-input Baselines


May 14, 2019
Shi Feng, Eric Wallace, Jordan Boyd-Graber

* ACL 2019 

  Access Paper or Ask Questions

Quizbowl: The Case for Incremental Question Answering


Apr 09, 2019
Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan Boyd-Graber


  Access Paper or Ask Questions

Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification


Dec 22, 2018
Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber


  Access Paper or Ask Questions

What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play


Oct 24, 2018
Shi Feng, Jordan Boyd-Graber


  Access Paper or Ask Questions