298 citations · 686 across the 11 of their papers we have counts for
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cs.CL2019★ 70 cited
How we do things with words: Analyzing text as social and cultural data
Dong Nguyen, Maria Liakata, Simon DeDeo +4
In this article we describe our experiences with computational text analysis. We hope to achieve three primary goals. First, we aim to shed light on thorny issues not always at the…
cs.CL2018
Quantifying the visual concreteness of words and topics in multimodal datasets
Jack Hessel, David Mimno, Lillian Lee
Multimodal machine learning algorithms aim to learn visual-textual correspondences. Previous work suggests that concepts with concrete visual manifestations may be easier to learn…
cs.CL2017
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
Moontae Lee, David Bindel, David Mimno
Spectral topic modeling algorithms operate on matrices/tensors of word co-occurrence statistics to learn topic-specific word distributions. This approach removes the dependence on…