Jordan Boyd-Graber

发表

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

Philip Resnik, Jordan L. Boyd-Graber, Weiwei Yang, 2019, EMNLP.

PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation

David M. Blei, Jordan Boyd-Graber, 2007, SemEval@ACL.

Hybrid Online Inference with Adaptor Grammars

Ke Zhai, Shay B. Cohen, Jordan L. Boyd-Graber, 2014 .

Multilingual Topic Models for Unaligned Text pdf

David M. Blei, Jordan L. Boyd-Graber, Jordan Boyd-Graber, 2009, UAI.

Learning a Concept Hierarchy from Multi-labeled Documents

Philip Resnik, Jordan L. Boyd-Graber, Jonathan Chang, 2014, NIPS.

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

Thang Nguyen, Eric K. Ringger, Jordan L. Boyd-Graber, 2015, NAACL.

Incremental Prediction of Sentence-final Verbs: Humans versus Machines

Naho Orita, Jordan Boyd-Graber, Alvin C. Grissom, 2016, CoNLL.

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

Philip Resnik, Jordan L. Boyd-Graber, Viet-An Nguyen, 2015, ACL.

Political Ideology Detection Using Recursive Neural Networks

Philip Resnik, Jordan L. Boyd-Graber, Mohit Iyyer, 2014, ACL.

Learning Text Pair Similarity with Context-sensitive Autoencoders

Philip Resnik, Jordan L. Boyd-Graber, Jordan Boyd-Graber, 2016, ACL.

Linguistic extensions of topic models

David M. Blei, Jordan L. Boyd-Graber, Jordan Boyd-Graber, 2010 .

"Our Grief is Unspeakable": Automatically Measuring the Community Impact of a Tragedy

Jordan L. Boyd-Graber, Clayton Fink, Jordan Boyd-Graber, 2014, ICWSM.

Grammatical structures for word-level sentiment detection

Jordan L. Boyd-Graber, Amy Weinberg, Asad B. Sayeed, 2012, NAACL.

Human-Computer Question Answering: The Case for Quizbowl

Shi Feng, Jordan Boyd-Graber, Pedro Rodriguez, 2018 .

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives

Larry S. Davis, Jordan L. Boyd-Graber, Mohit Iyyer, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian Supervised Domain Adaptation for Short Text Similarity

Tamara Sumner, Jordan L. Boyd-Graber, Jordan Boyd-Graber, 2016, NAACL.

Syntactic Topic Models

David M. Blei, Jordan L. Boyd-Graber, Jordan Boyd-Graber, 2008, NIPS.

Modeling topic control to detect influence in conversations using nonparametric topic models

Philip Resnik, Jordan L. Boyd-Graber, Viet-An Nguyen, 2014, Machine Learning.

No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML

Daniel S. Weld, Jordan L. Boyd-Graber, Leah Findlater, 2020, CHI.

What is Data Science?

Jordan Boyd-Graber, O. Hazzan, Koby Mike, 2023, Commun. ACM.

Connections between the lines: augmenting social networks with text

David M. Blei, Jordan L. Boyd-Graber, Jonathan Chang, 2009, KDD.

Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations

Philip Resnik, Jordan L. Boyd-Graber, Viet-An Nguyen, 2013, NAACL.

Efficient Tree-Based Topic Modeling

Jordan L. Boyd-Graber, Jordan Boyd-Graber, Yuening Hu, 2012, ACL.

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

Jordan L. Boyd-Graber, Kevin Seppi, Leah Findlater, 2016, ACL.

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

Mohit Iyyer, Jordan Boyd-Graber, Anupam Guha, 2016 .

Adapting Topic Models using Lexical Associations with Tree Priors

Philip Resnik, Weiwei Yang, Jordan Boyd-Graber, 2017, EMNLP.

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

Michael J. Paul, Jordan L. Boyd-Graber, Mozhi Zhang, 2020, ACL.

Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce

Jordan L. Boyd-Graber, Jordan Boyd-Graber, Ke Zhai, 2012, WWW.

Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling

Philip Resnik, Viet-An Nguyen, Jordan Boyd-Graber, 2014, EMNLP.

Besting the Quiz Master: Crowdsourcing Incremental Classification Games

Jordan L. Boyd-Graber, Jordan Boyd-Graber, He He, 2012, EMNLP.

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation

Jordan L. Boyd-Graber, Jordan Boyd-Graber, He He, 2014, EMNLP.

Measuring Transitivity Using Untrained Annotators

Nitin Madnani, Philip Resnik, Jordan Boyd-Graber, 2010, Mturk@HLT-NAACL.

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

Hal Daumé, Khanh Nguyen, Jordan L. Boyd-Graber, 2017, EMNLP.

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

Snigdha Chaturvedi, Hal Daumé, Jordan L. Boyd-Graber, 2016, NAACL.

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game

Cristian Danescu-Niculescu-Mizil, Jordan L. Boyd-Graber, Srijan Kumar, 2015, ACL.

Part of Speech Tagging

Jordan Boyd-Graber, Ray Mooney, 2010, Encyclopedia of Machine Learning.

Proceedings of the Workshop on Human-Computer Question Answering

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

A Neural Network for Factoid Question Answering over Paragraphs

Richard Socher, Hal Daumé, Jordan L. Boyd-Graber, 2014, EMNLP.

Adding dense, weighted connections to WordNet

Jordan L. Boyd-Graber, Jordan Boyd-Graber, Christiane Fellbaum, 2005 .

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent

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

Supervised Learning

Jordan Boyd-Graber, 2010, Encyclopedia of Machine Learning.

Efficient Methods for Incorporating Knowledge into Topic Models

Doug Downey, Jordan L. Boyd-Graber, Yi Yang, 2015, EMNLP.

Online Learning

Jordan Boyd-Graber, 2008, Encyclopedia of Algorithms.