Can Topic Modelling benefit from Word Sense Information?
Authors
Subject
Natural Language Processing, Topic ModellingRelated Project
InfoCrowds - Social Web Information Retrieval for crowds mobility managementConference
10th International Conference on Language Resources and Evaluation, May 2016DOI
Cited by
Year 2018 : 1 citations
Pham, P., Do, P., and Ta, C. D. C. (2018). GOW-LDA: Applying term co-occurrence graph representation in lda topic models improvement. In Proceedings of International Conference on Computational Science and Technology, ICCST 2017, pages 420–431. Springer.