: This highly regarded paper from arXiv challenges current automated metrics and advocates for human-centered evaluation in neural models.
Searching for specific papers on topic modeling involves looking at foundational research and state-of-the-art developments in and Latent Dirichlet Allocation (LDA) . Top Papers for Topic Modeling tarea656
: This is the seminal paper by David Blei and colleagues that introduced the LDA model, forming the foundation for most modern topic modeling techniques. : This highly regarded paper from arXiv challenges
: A comprehensive review available on Springer that categorizes methods, applications, and future directions for the field. : A comprehensive review available on Springer that
: Typically use Variational Autoencoders (VAEs) and often outperform classical models on large-scale datasets, though evaluation can be more complex.
: This arXiv paper provides a practical overview of a toolkit designed to streamline different scenarios like hierarchical and cross-lingual modeling. Foundational vs. Modern Approaches
: Published in Information Processing & Management , this paper presents a way to improve how distinct and interpretable topics are within a model.