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Found 5 papers, 1 papers with code
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations
In this paper we propose an extension to a specific emerging hybrid document distance metric which combines topic models and word embeddings: the Hierarchical Optimal Topic Transport (HOTT).
User Modeling and User Profiling: A Comprehensive Survey
This survey serves as a comprehensive resource for researchers and practitioners, offering insights into the evolution of user modeling and profiling and guiding the development of more personalized, ethical, and effective AI systems.
Using TEI for textbook research
The following paper describes the first steps in the development of an ontology for the textbook research discipline.
Is it Useful to Support Users with Lexical Resources? A User Study.
Standard search engines do not consider semantic information that can help in recognizing the relevance of a document with respect to the meaning of a query.
GerNED: A German Corpus for Named Entity Disambiguation
Determining the real-world referents for name mentions of persons, organizations and other named entities in texts has become an important task in many information retrieval scenarios and is referred to as Named Entity Disambiguation (NED).
