Papers by Akihiro Maeda

1 papers
Decomposing Co-occurrence Matrices into Interpretable Components as Formal Concepts (2024.findings-acl)

Copied to clipboard

Challenge: Existing studies have shown that word vectors capture relational meanings, but the interpretability of their dimensions remains an open issue.
Approach: They employ the mathematical methodology of Formal Concept Analysis to examine word embeddings using a count-based co-occurrence matrix.
Outcome: The proposed model shows that the formal concepts identified align with interpretable categories, as shown in the category completion task.

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