David M. Mimno

According to our database, David M. Mimno authored at least 75 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs.

Rebecca M. M. Hicke, David Mimno

CoRR, 2024

The Afterlives of Shakespeare and Company in Online Social Readership.

Maria Antoniak, David Mimno, Rosamond Elizabeth Thalken, Melanie Walsh, Matthew Wilkens, Gregory Yauney

CoRR, 2024

Contextualized Topic Coherence Metrics.

Hamed Rahimi, David Mimno, Jacob Louis Hoover, Hubert Naacke, Camélia Constantin, Bernd Amann

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Report of the 1st Workshop on Generative AI and Law.

A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide

CoRR, 2023

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito

CoRR, 2023

Sensemaking About Contraceptive Methods Across Online Platforms.

LeAnn McDowall, Maria Antoniak, David Mimno

CoRR, 2023

Data Similarity is Not Enough to Explain Language Model Performance.

Gregory Yauney, Emily Reif, David Mimno

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings.

Andrea W. Wen-Yi, David Mimno

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement.

Rosamond Elizabeth Thalken, Edward H. Stiglitz, David Mimno, Matthew Wilkens

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large Language Models and NER: better results with less work.

Rosamond Elizabeth Thalken, Matthew Wilkens, David Mimno

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models.

Rebecca M. M. Hicke, David Mimno

Proceedings of the Computational Humanities Research Conference 2023, 2023

The Chatbot and the Canon: Poetry Memorization in LLMs.

Lyra D'Souza, David Mimno

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

Breaking BERT: Evaluating and Optimizing Sparsified Attention.

Siddhartha Brahma, Polina Zablotskaia, David Mimno

CoRR, 2022

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model.

Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno

CoRR, 2022

2021

Tags, Borders, and Catalogs: Social Re-Working of Genre on LibraryThing.

Maria Antoniak, Melanie Walsh, David Mimno

Proc. ACM Hum. Comput. Interact., 2021

Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron.

A. Feder Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, David Mimno

CoRR, 2021

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference.

Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel

Proceedings of the 38th International Conference on Machine Learning, 2021

Comparing Text Representations: A Theory-Driven Approach.

Gregory Yauney, David Mimno

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Bad Seeds: Evaluating Lexical Methods for Bias Measurement.

Maria Antoniak, David Mimno

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

How We Do Things With Words: Analyzing Text as Social and Cultural Data.

Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters

Frontiers Artif. Intell., 2020

Topic Modeling with Contextualized Word Representation Clusters.

Laure Thompson, David Mimno

CoRR, 2020

Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents.

Gregory Yauney, Jack Hessel, David Mimno

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Network Analysis Finds Shifts in the History of Modern Architecture.

Gregory Yauney, David Mimno

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Constructing and Analyzing Short Science Fiction at Scale.

Laure Thompson, David Mimno

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Replication and Computational Literary Studies.

Christof Schöch, Karina van Dalen-Oskam, Maria Antoniak, Fotis Jannidis, David Mimno

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Prior-aware Composition Inference for Spectral Topic Models.

Moontae Lee, David Bindel, David Mimno

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Boosted negative sampling by quadratically constrained entropy maximization.

Taygun Kekeç, David Mimno, David M. J. Tax

Pattern Recognit. Lett., 2019

Narrative Paths and Negotiation of Power in Birth Stories.

Maria Antoniak, David Mimno, Karen Levy

Proc. ACM Hum. Comput. Interact., 2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm.

Moontae Lee, Sungjun Cho, David Bindel, David Mimno

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents.

Jack Hessel, Lillian Lee, David Mimno

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Evaluating the Stability of Embedding-based Word Similarities.

Maria Antoniak, David Mimno

Trans. Assoc. Comput. Linguistics, 2018

Learning topic models - provably and efficiently.

Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu

Commun. ACM, 2018

Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets.

Jack Hessel, David M. Mimno, Lillian Lee

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Authorless Topic Models: Biasing Models Away from Known Structure.

Laure Thompson, David Mimno

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?

Eric P. S. Baumer, David M. Mimno, Shion Guha, Emily Quan, Geri K. Gay

J. Assoc. Inf. Sci. Technol., 2017

Applications of Topic Models.

Jordan L. Boyd-Graber, Yuening Hu, David M. Mimno

Found. Trends Inf. Retr., 2017

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models.

Moontae Lee, David Bindel, David M. Mimno

CoRR, 2017

Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity.

Jack Hessel, Lillian Lee, David M. Mimno

Proceedings of the 26th International Conference on World Wide Web, 2017

Quantifying the Effects of Text Duplication on Semantic Models.

Alexandra Schofield, Laure Thompson, David M. Mimno

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

The strange geometry of skip-gram with negative sampling.

David M. Mimno, Laure Thompson

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Pulling Out the Stops: Rethinking Stopword Removal for Topic Models.

Alexandra Schofield, Måns Magnusson, David M. Mimno

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Comparing Apples to Apple: The Effects of Stemmers on Topic Models.

Alexandra Schofield, David M. Mimno

Trans. Assoc. Comput. Linguistics, 2016

Beyond Exchangeability: The Chinese Voting Process.

Moontae Lee, Seok Hyun Jin, David M. Mimno

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Machine Learning and Grounded Theory Method: Convergence, Divergence, and Combination.

Michael J. Muller, Shion Guha, Eric P. S. Baumer, David M. Mimno, N. Sadat Shami

Proceedings of the 19th International Conference on Supporting Group Work, Sanibel Island, FL, USA, November 13, 2016

2015

What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks.

Jack Hessel, Alexandra Schofield, Lillian Lee, David M. Mimno

CoRR, 2015

Robust Spectral Inference for Joint Stochastic Matrix Factorization.

Moontae Lee, David Bindel, David M. Mimno

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Evaluation methods for unsupervised word embeddings.

Tobias Schnabel, Igor Labutov, David M. Mimno, Thorsten Joachims

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Care and Feeding of Topic Models.

Jordan L. Boyd-Graber, David M. Mimno, David Newman

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

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference.

David M. Mimno, Moontae Lee

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

The Telltale Hat: LDA and Classification Problems in a Large Folklore Corpus.

David Mimno, Peter M. Broadwell, Timothy R. Tangherlini

Proceedings of the 9th Annual International Conference of the Alliance of Digital Humanities Organizations, 2014

2013

A Practical Algorithm for Topic Modeling with Provable Guarantees.

Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Computational historiography: Data mining in a century of classics journals.

David M. Mimno

ACM Journal on Computing and Cultural Heritage, 2012

Scalable Inference of Overlapping Communities.

Prem Gopalan, David M. Mimno, Sean Gerrish, Michael J. Freedman, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Topic models for taxonomies.

Anton Bakalov, Andrew McCallum, Hanna M. Wallach, David M. Mimno

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Sparse stochastic inference for latent Dirichlet allocation.

David M. Mimno, Matthew D. Hoffman, David M. Blei

Proceedings of the 29th International Conference on Machine Learning, 2012

Topic Modeling the Past.

Robert K. Nelson, David Mimno, Travis Brown

Proceedings of the 7th Annual International Conference of the Alliance of Digital Humanities Organizations, 2012

2011

Reconstructing Pompeian Households.

David M. Mimno

Proceedings of the UAI 2011, 2011

Optimizing Semantic Coherence in Topic Models.

David M. Mimno, Hanna M. Wallach, Edmund M. Talley, Miriam Leenders, Andrew McCallum

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Bayesian Checking for Topic Models.

David M. Mimno, David M. Blei

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2009

Classics in the Million Book Library.

Gregory R. Crane, Alison Babeu, David Bamman, Thomas M. Breuel, Lisa Cerrato, Daniel Deckers, Anke Lüdeling, David M. Mimno, Rashmi Singhal, David A. Smith, Amir Zeldes

Digit. Humanit. Q., 2009

Rethinking LDA: Why Priors Matter.

Hanna M. Wallach, David M. Mimno, Andrew McCallum

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

Efficient methods for topic model inference on streaming document collections.

Limin Yao, David M. Mimno, Andrew McCallum

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Evaluation methods for topic models.

Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Polylingual Topic Models.

David M. Mimno, Hanna M. Wallach, Jason Naradowsky, David A. Smith, Andrew McCallum

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression.

David M. Mimno, Andrew McCallum

Proceedings of the UAI 2008, 2008

InterNano: e-Science for the Nanomanufacturing Community.

Rebecca Reznik-Zellen, Bob Stevens, Michael Thorn, Jeff Morse, Mark D. Smucker, James Allan, David M. Mimno, Andrew McCallum, Mark Tuominen

Proceedings of the Fourth International Conference on e-Science, 2008

2007

Expertise modeling for matching papers with reviewers.

David M. Mimno, Andrew McCallum

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Organizing the OCA: learning faceted subjects from a library of digital books.

David M. Mimno, Andrew McCallum

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Mining a digital library for influential authors.

David M. Mimno, Andrew McCallum

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Mixtures of hierarchical topics with Pachinko allocation.

David M. Mimno, Wei Li, Andrew McCallum

Proceedings of the Machine Learning, 2007

2006

Bibliometric impact measures leveraging topic analysis.

Gideon S. Mann, David M. Mimno, Andrew McCallum

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006

Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries.

Gregory R. Crane, David Bamman, Lisa Cerrato, Alison Jones, David M. Mimno, Adrian Packel, David Sculley, Gabriel Weaver

Proceedings of the Research and Advanced Technology for Digital Libraries, 2006

2005

Hierarchical Catalog Records: Implementing a FRBR Catalog.

David M. Mimno, Gregory R. Crane, Alison Jones

D Lib Mag., 2005

Finding a catalog: generating analytical catalog records from well-structured digital texts.

David M. Mimno, Alison Jones, Gregory R. Crane

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2005

2004

Services for a customizable authority linking environment.

M. S. Patton, David M. Mimno

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004