3 papers
cs.CL2021
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
Wilson Fearn, Orion Weller, Kevin Seppi
Text classification is a significant branch of natural language processing, and has many applications including document classification and sentiment analysis. Unsurprisingly, thos…
cs.IR2019
Automatic Evaluation of Local Topic Quality
Jeffrey Lund, Piper Armstrong, Wilson Fearn +4
Topic models are typically evaluated with respect to the global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) t…
cs.CL2019
Cross-referencing using Fine-grained Topic Modeling
Jeffrey Lund, Piper Armstrong, Wilson Fearn +3
Cross-referencing, which links passages of text to other related passages, can be a valuable study aid for facilitating comprehension of a text. However, cross-referencing requires…