Papers by Ciarán Byrne

1 papers
Topic Modeling With Topological Data Analysis (2022.emnlp-main)

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Challenge: Recent topic modelling approaches that use clustering on word, token or document embeddings can ex-tract coherent topics.
Approach: They propose an unsupervised topic mod-elling method which uses TopologicalData Analysis to extract a topologicalskeleton of the manifold upon which word embeddings lie.
Outcome: The proposed method performs on par with a baseline and can construct a network of coherent topics with meaningful relationships between them.

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