Jordan L. Boyd-Graber

According to our database1, Jordan L. Boyd-Graber authored at least 105 papers between 2006 and 2019.

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Bibliography

2019
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples.
TACL, 2019

Meta Answering for Machine Reading.
CoRR, 2019

Interactive Refinement of Cross-Lingual Word Embeddings.
CoRR, 2019

What Question Answering can Learn from Trivia Nerds.
CoRR, 2019

Mitigating Noisy Inputs for Question Answering.
CoRR, 2019

Quizbowl: The Case for Incremental Question Answering.
CoRR, 2019

What can AI do for me?: evaluating machine learning interpretations in cooperative play.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Can You Unpack That? Learning to Rewrite Questions-in-Context.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Automatic Evaluation of Local Topic Quality.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Misleading Failures of Partial-input Baselines.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification.
CoRR, 2018

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions.
CoRR, 2018

Inducing and Embedding Senses with Scaled Gumbel Softmax.
CoRR, 2018

Right Answer for the Wrong Reason: Discovery and Mitigation.
CoRR, 2018

Learning to Color from Language.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Interpreting Neural Networks with Nearest Neighbors.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Pathologies of Neural Models Make Interpretation Difficult.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A dataset and baselines for sequential open-domain question answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

Automatic Estimation of Simultaneous Interpreter Performance.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels.
TACL, 2017

The human touch: How non-expert users perceive, interpret, and fix topic models.
Int. J. Hum. Comput. Stud., 2017

Applications of Topic Models.
Foundations and Trends in Information Retrieval, 2017

Adapting Topic Models using Lexical Associations with Tree Priors.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Why ADAGRAD Fails for Online Topic Modeling.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Opponent Modeling in Deep Reinforcement Learning.
CoRR, 2016

Leveraging VerbNet to build Corpus-Specific Verb Clusters.
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

Bayesian Supervised Domain Adaptation for Short Text Similarity.
Proceedings of the NAACL HLT 2016, 2016

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
Proceedings of the NAACL HLT 2016, 2016

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation.
Proceedings of the NAACL HLT 2016, 2016

Opponent Modeling in Deep Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Incremental Prediction of Sentence-final Verbs: Humans versus Machines.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

A Discriminative Topic Model using Document Network Structure.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Text Pair Similarity with Context-sensitive Autoencoders.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Synchronous Machine Translation (NII Shonan Meeting 2015-10).
NII Shonan Meet. Rep., 2015

Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter.
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

Speeding Document Annotation with Topic Models.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Methods for Incorporating Knowledge into Topic Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Syntax-based Rewriting for Simultaneous Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Care and Feeding of Topic Models.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Online Adaptor Grammars with Hybrid Inference.
TACL, 2014

Modeling topic control to detect influence in conversations using nonparametric topic models.
Machine Learning, 2014

Interactive topic modeling.
Machine Learning, 2014

Learning a Concept Hierarchy from Multi-labeled Documents.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

"Our Grief is Unspeakable": Automatically Measuring the Community Impact of a Tragedy.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Neural Network for Factoid Question Answering over Paragraphs.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Political Ideology Detection Using Recursive Neural Networks.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Polylingual Tree-Based Topic Models for Translation Domain Adaptation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Quantifying the role of discourse topicality in speakers' choices of referring expressions.
Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics, 2014

2013
Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space.
Journal of Computational Biology, 2013

Lexical and Hierarchical Topic Regression.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Online Latent Dirichlet Allocation with Infinite Vocabulary.
Proceedings of the 30th International Conference on Machine Learning, 2013

Discovering Pronoun Categories using Discourse Information.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Spoiler alert: Machine learning approaches to detect social media posts with revelatory information.
Proceedings of the Beyond the Cloud: Rethinking Information Boundaries, 2013

2012
Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools.
Proceedings of the Modeling, 2012

Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Grammatical structures for word-level sentiment detection.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Modeling Images using Transformed Indian Buffet Processes.
Proceedings of the 29th International Conference on Machine Learning, 2012

Besting the Quiz Master: Crowdsourcing Incremental Classification Games.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Efficient Tree-Based Topic Modeling.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Topic Models for Dynamic Translation Model Adaptation.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Using Variational Inference and MapReduce to Scale Topic Modeling
CoRR, 2011

Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Comparing values and sentiment using Mechanical Turk.
Proceedings of the iConference 2011, 2011

Modeling diverse standpoints in text classification: learning to be human by modeling human values.
Proceedings of the iConference 2011, 2011

Interactive Topic Modeling.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Believe Me - We Can Do This! Annotating Persuasive Acts in Blog Text.
Proceedings of the Computational Models of Natural Argument, 2011

2010
Measuring Transitivity Using Untrained Annotators.
Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010

Modeling Perspective Using Adaptor Grammars.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Multilingual Topic Models for Unaligned Text.
Proceedings of the UAI 2009, 2009

Reading Tea Leaves: How Humans Interpret Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Connections between the lines: augmenting social networks with text.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

The design of ViVA: a mixed-initiative visual vocabulary for aphasia.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Better vocabularies for assistive communication aids: connecting terms using semantic networks and untrained annotators.
Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility, 2009

Speaking through pictures: images vs. icons.
Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility, 2009

2008
Syntactic Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

A Topic Model for Word Sense Disambiguation.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Participatory design with proxies: developing a desktop-PDA system to support people with aphasia.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006


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