Results 111 to 120 of about 1,143,739 (216)
, 2010 The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Boyd-Graber, Jordan, Blei, David M.
openaire +2 more sources
A Web surfer model incorporating topic continuity [PDF]
, 2005 Srikanta Pal, B.L. Narayan
openalex +1 more source
PubMed related articles: a probabilistic topic-based model for content similarity [PDF]
, 2007 Jimmy Lin, W. John Wilbur
openalex +1 more source
Topic-aware response selection for dialog systems
Natural Language Processing JournalIt is challenging for a persona-based chitchat system to return responses consistent with the dialog context and the persona of the agent. This particularly holds for a retrieval-based chitchat system that selects the most appropriate response from a set
Wei Yuan +3 more
doaj
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models [PDF]
, 2007 Ramesh Nallapati +3 more
openalex +1 more source
Robust topic inference for latent semantic language model adaptation [PDF]
, 2007 Aaron Heidel, Lin-Shan Lee
openalex +1 more source
Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling [PDF]
arXivTopic modeling is a widely used technique for uncovering thematic structures from large text corpora. However, most topic modeling approaches e.g. Latent Dirichlet Allocation (LDA) struggle to capture nuanced semantics and contextual understanding required to accurately model complex narratives.
arxiv