Jordan Boyd-Graber

发表

Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering

Eric Wallace, Pedro Rodriguez, Shi Feng, 2018, TACL.

Can You Unpack That? Learning to Rewrite Questions-in-Context

Jordan Boyd-Graber, Ahmed Elgohary, Jordan L. Boyd-Graber, 2019, EMNLP.

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

Jannis Bulian, Jordan Boyd-Graber, Massimiliano Ciaramita, 2020, ArXiv.

Concurrent Visualization of Relationships between Words and Topics in Topic Models

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Jason Chuang, 2014 .

Interactive Refinement of Cross-Lingual Word Embeddings

Jordan Boyd-Graber, Benjamin Van Durme, Leah Findlater, 2020, EMNLP.

Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation

Philip Resnik, Jordan Boyd-Graber, Jordan L. Boyd-Graber, 2010, EMNLP.

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned pdf

Jun Suzuki, Yelong Shen, Colin Raffel, 2021, ArXiv.

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions pdf

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Eric Wallace, 2018, ACL.

Proceedings of ACL 2017, Tutorial Abstracts

Jordan Boyd-Graber, Maja Popović, 2017, ACL 2017.

Cold-start Active Learning through Self-Supervised Language Modeling pdf

Hsuan-Tien Lin, Jordan Boyd-Graber, Jordan L. Boyd-Graber, 2020, EMNLP.

Automatic classification of multi-word expressions in print dictionaries

Jordan Boyd-Graber, Alexander Geyken, 2004 .

ClimaText: A Dataset for Climate Change Topic Detection pdf

Jordan Boyd-Graber, Massimiliano Ciaramita, Markus Leippold, 2020, ArXiv.

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

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Chen Zhao, 2020, FINDINGS.

An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs

Jordan Boyd-Graber, Wenyan Li, Alvin Grissom II, 2020, EMNLP.

Online Latent Dirichlet Allocation with Infinite Vocabulary

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Ke Zhai, 2013, ICML.

Topic Models for Dynamic Translation Model Adaptation

Vladimir Eidelman, Philip Resnik, Jordan Boyd-Graber, 2012, ACL.

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval pdf

Jordan Boyd-Graber, Chenyan Xiong, Jordan L. Boyd-Graber, 2021, NAACL.

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

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Kellie Webster, 2021, ArXiv.

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

Philip Resnik, Jordan Boyd-Graber, Jordan L. Boyd-Graber, 2021, NeurIPS.

Adaptive Active Learning for Coreference Resolution pdf

Jordan Boyd-Graber, Benjamin Van Durme, Jordan L. Boyd-Graber, 2021, ArXiv.

Evaluation Paradigms in Question Answering

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Pedro Rodriguez, 2021, EMNLP.

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

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Chenglei Si, 2021, EMNLP.

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Jordan Boyd-Graber, Jordan L. Boyd-Graber, John P. Lalor, 2021, ACL.

Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy

Jordan Boyd-Graber, Kellie Webster, Maharshi Gor, 2021 .

Fool Me Twice: Entailment from Wikipedia Gamification pdf

Jannis Bulian, Jordan Boyd-Graber, Julian Martin Eisenschlos, 2021, NAACL.

Sentiment Polarity Automatic Detection of Human Values in Texts

Douglas W. Oard, Jordan Boyd-Graber, Jes A. Koepfler, 2014 .

Latent Dirichlet Allocation with Infinite Vocabulary

Jordan Boyd-Graber, Jordan L. Boyd-Graber, 2016 .

Using Confusion Graphs to Understand Classifier Error

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Davis Yoshida, 2016 .

Topic Models for Translation Domain Adaptation

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Yuening Hu, 2013 .

Interpretability

Jordan Boyd-Graber, Igor Labutov, David Mimno, 2021, Deep Learning for Physics Research.

A Differentiable Self-disambiguated Sense Embedding Model via Scaled Gumbel Softmax

Jordan Boyd-Graber, Jordan L. Boyd-Graber, Fenfei Guo, 2018 .

Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014.

Edoardo M. Airoldi, Stephen E. Fienberg, Jordan Boyd-Graber, 2014 .