11 citations · 11 across the 1 of their papers we have counts for
4 papers
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Gregory Yauney, Jack Hessel, David Mimno
Images can give us insights into the contextual meanings of words, but current image-text grounding approaches require detailed annotations. Such granular annotation is rare, expen…
Topic Modeling with Contextualized Word Representation Clusters
Laure Thompson, David Mimno
Clustering token-level contextualized word representations produces output that shares many similarities with topic models for English text collections. Unlike clusterings of vocab…
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
Jack Hessel, Lillian Lee, David Mimno
Images and text co-occur constantly on the web, but explicit links between images and sentences (or other intra-document textual units) are often not present. We present algorithms…
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
Moontae Lee, David Mimno
The anchor words algorithm performs provably efficient topic model inference by finding an approximate convex hull in a high-dimensional word co-occurrence space. However, the exis…