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05/23/2023
Contextualized Topic Coherence Metrics
The recent explosion in work on neural topic modeling has been criticize...
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05/22/2023
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, Toxicity
Pretraining is the preliminary and fundamental step in developing capabl...
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01/23/2023
Sensemaking About Contraceptive Methods Across Online Platforms
Selecting a birth control method is a complex healthcare decision. While...
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10/07/2022
Breaking BERT: Evaluating and Optimizing Sparsified Attention
Transformers allow attention between all pairs of tokens, but there is r...
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10/05/2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Explainable question answering systems should produce not only accurate ...
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11/12/2021
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
Across many data domains, co-occurrence statistics about the joint appea...
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09/22/2021
Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron
We explore Boccaccio's Decameron to see how digital humanities tools can...
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09/15/2021
Comparing Text Representations: A Theory-Driven Approach
Much of the progress in contemporary NLP has come from learning represen...
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10/30/2020
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Images can give us insights into the contextual meanings of words, but c...
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10/23/2020
Topic Modeling with Contextualized Word Representation Clusters
Clustering token-level contextualized word representations produces outp...
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07/02/2019
How we do things with words: Analyzing text as social and cultural data
In this article we describe our experiences with computational text anal...
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04/16/2019
Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents
Images and text co-occur everywhere on the web, but explicit links betwe...
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04/18/2018
Quantifying the visual concreteness of words and topics in multimodal datasets
Multimodal machine learning algorithms aim to learn visual-textual corre...
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11/19/2017
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
Spectral topic modeling algorithms operate on matrices/tensors of word c...
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11/18/2017
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
The anchor words algorithm performs provably efficient topic model infer...
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03/06/2017
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity
The content of today's social media is becoming more and more rich, incr...
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11/01/2016
Robust Spectral Inference for Joint Stochastic Matrix Factorization
Spectral inference provides fast algorithms and provable optimality for ...
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12/19/2012
A Practical Algorithm for Topic Modeling with Provable Guarantees
Topic models provide a useful method for dimensionality reduction and ex...
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06/27/2012
Sparse Stochastic Inference for Latent Dirichlet allocation
We present a hybrid algorithm for Bayesian topic models that combines th...
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02/14/2012