Papers by Naoya Takeishi

1 papers
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections (P18-2)

Copied to clipboard

Challenge: a collection of documents often has dynamic structures, i.e., topics evolve along time depending on multiple topics in the past.
Approach: They propose a dynamic and static topic model that considers dynamic and dynamic structures of topic evolution and static structures of the topic hierarchy at each time.
Outcome: The proposed model outperforms conventional models on scientific papers . it shows that extracted topic structures are useful for analyzing research activities .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations