NLPExplorer

Jordan Boyd Graber

Number of Papers:- 88

Number of Citations:- 431

First ACL Paper:- 2007

Latest ACL Paper:- 2022

Venues:-

NAACL

CMCL

IJCNLP

TACL

CLPsych

LREC

ACL

Findings

MRQA

*SEMEVAL

CoNLL

COLING

EMNLP

Co-Authors:-

Ahmed Elgohary

Alexander Fraser

Alexander Miserlis Hoyle

Alison Smith

Alison Smith Renner

Similar Authors:-

Adapting Coreference Resolution Models through Active Learning ACL

Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability ACL

Yoshinari Fujinuma | Jordan Boyd-Graber | Katharina Kann |

Automatic Song Translation for Tonal Languages ACL Findings

Human-Centered Evaluation of Explanations NAACL

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

Chen Zhao | Chenyan Xiong | Jordan Boyd-Graber | Hal Daumé III |

Fool Me Twice: Entailment from Wikipedia Gamification NAACL

Eliciting Bias in Question Answering Models through Ambiguity EMNLP MRQA

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation EMNLP

Chen Zhao | Chenyan Xiong | Jordan Boyd-Graber | Hal Daumé III |

Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy EMNLP

Maharshi Gor | Kellie Webster | Jordan Boyd-Graber |

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

Chenglei Si | Chen Zhao | Jordan Boyd-Graber |

Evaluation Paradigms in Question Answering EMNLP

Pedro Rodriguez | Jordan Boyd-Graber |

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

Adapting Entities across Languages and Cultures EMNLP Findings

Denis Peskov | Viktor Hangya | Jordan Boyd-Graber | Alexander Fraser |

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

Mozhi Zhang | Yoshinari Fujinuma | Michael J. Paul | Jordan Boyd-Graber |

It Takes Two to Lie: One to Lie, and One to Listen ACL

What Question Answering can Learn from Trivia Nerds ACL

Jordan Boyd-Graber | Benjamin Börschinger |

Cold-start Active Learning through Self-supervised Language Modeling EMNLP

Michelle Yuan | Hsuan-Tien Lin | Jordan Boyd-Graber |

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

Interactive Refinement of Cross-Lingual Word Embeddings EMNLP

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

Wenyan Li | Alvin Grissom II | Jordan Boyd-Graber |

Which Evaluations Uncover Sense Representations that Actually Make Sense? LREC

Jordan Boyd-Graber | Fenfei Guo | Leah Findlater | Mohit Iyyer |

A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability EMNLP

Weiwei Yang | Jordan Boyd-Graber | Philip Resnik |

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

Ahmed Elgohary | Denis Peskov | Jordan Boyd-Graber |

How Pre-trained Word Representations Capture Commonsense Physical Comparisons EMNLP WS

Pranav Goel | Shi Feng | Jordan Boyd-Graber |

Automatic Evaluation of Local Topic Quality ACL

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

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

Yoshinari Fujinuma | Jordan Boyd-Graber | Michael J. Paul |

Misleading Failures of Partial-input Baselines ACL

Shi Feng | Eric Wallace | Jordan Boyd-Graber |

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

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

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types COLING

Paul Felt | Eric Ringger | Jordan Boyd-Graber | Kevin Seppi |

A dataset and baselines for sequential open-domain question answering EMNLP

Ahmed Elgohary | Chen Zhao | Jordan Boyd-Graber |

Pathologies of Neural Models Make Interpretations Difficult EMNLP

Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation NAACL

Shudong Hao | Jordan Boyd-Graber | Michael J. Paul |

Learning to Color from Language NAACL

Varun Manjunatha | Mohit Iyyer | Jordan Boyd-Graber | Larry Davis |

Automatic Estimation of Simultaneous Interpreter Performance ACL

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

Eric Wallace | Jordan Boyd-Graber |

Interpreting Neural Networks with Nearest Neighbors EMNLP WS

Eric Wallace | Shi Feng | Jordan Boyd-Graber |

Why ADAGRAD Fails for Online Topic Modeling EMNLP

You Lu | Jeffrey Lund | Jordan Boyd-Graber |

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP

Khanh Nguyen | Hal Daumé III | Jordan Boyd-Graber |

Adapting Topic Models using Lexical Associations with Tree Priors EMNLP

Weiwei Yang | Jordan Boyd-Graber | Philip Resnik |

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling ACL

Jeffrey Lund | Connor Cook | Kevin Seppi | Jordan Boyd-Graber |

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts ACL

Maja Popović | Jordan Boyd-Graber |

Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Topic Labels TACL

Incremental Prediction of Sentence-final Verbs: Humans versus Machines CoNLL

Alvin Grissom II | Naho Orita | Jordan Boyd-Graber |

Bayesian Supervised Domain Adaptation for Short Text Similarity NAACL

Md Arafat Sultan | Jordan Boyd-Graber | Tamara Sumner |

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation NAACL

He He | Jordan Boyd-Graber | Hal Daumé III |

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships NAACL

A Discriminative Topic Model using Document Network Structure ACL

Weiwei Yang | Jordan Boyd-Graber | Philip Resnik |

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling ACL

Forough Poursabzi-Sangdeh | Jordan Boyd-Graber | Leah Findlater | Kevin Seppi |

Learning Text Pair Similarity with Context-sensitive Autoencoders ACL

Hadi Amiri | Philip Resnik | Jordan Boyd-Graber | Hal Daumé III |

Leveraging VerbNet to build Corpus-Specific Verb Clusters *SEMEVAL

Daniel Peterson | Jordan Boyd-Graber | Martha Palmer | Daisuke Kawahara |

Proceedings of the Workshop on Human-Computer Question Answering WS

Mohit Iyyer | He He | Jordan Boyd-Graber | Hal Daumé III |

“A Distorted Skull Lies in the Bottom Center...” Identifying Paintings from Text Descriptions WS

Anupam Guha | Mohit Iyyer | Jordan Boyd-Graber |

Using Confusion Graphs to Understand Classifier Error WS

Davis Yoshida | Jordan Boyd-Graber |

Syntax-based Rewriting for Simultaneous Machine Translation EMNLP

Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors EMNLP

Weiwei Yang | Jordan Boyd-Graber | Philip Resnik |

Efficient Methods for Incorporating Knowledge into Topic Models EMNLP

Yi Yang | Doug Downey | Jordan Boyd-Graber |

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA CoNLL

Paul Felt | Eric Ringger | Jordan Boyd-Graber | Kevin Seppi |

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models NAACL

Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers NAACL

Anupam Guha | Mohit Iyyer | Danny Bouman | Jordan Boyd-Graber |

Speeding Document Annotation with Topic Models NAACL

Forough Poursabzi-Sangdeh | Jordan Boyd-Graber |

Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress ACL IJCNLP

Viet-An Nguyen | Jordan Boyd-Graber | Philip Resnik | Kristina Miler |