8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2021
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
Jeremiah Duncan, Fabian Fallas, Chris Gropp +11
Authorship analysis is an important subject in the field of natural language processing. It allows the detection of the most likely writer of articles, news, books, or messages. Th…
cs.IR2016★ 8 cited
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Chris Gropp, Alexander Herzog, Ilya Safro +2
Topic modeling, a method for extracting the underlying themes from a collection of documents, is an increasingly important component of the design of intelligent systems enabling t…