Papers by Aurélien Bossard

2 papers
A Modular Tool for Automatic Summarization (P19-3)

Copied to clipboard

Challenge: Abstractive automatic summarization methods are supervized, but they require large corpora to perform tasks.
Approach: They propose to use a modular tool for automatic summarization that is as simple as possible for end-users.
Outcome: The proposed tool is open source and written in Java . it could be used as a baseline for future work and evaluate methods on different corpora.
SummVD : An efficient approach for unsupervised topic-based text summarization (2022.aacl-main)

Copied to clipboard

Challenge: SummVD is an unsupervised extractive summarization method that uses word clustering to reduce word embeddings.
Approach: They propose a method for automatic unsupervised extractive summarization using word clustering and singular value decomposition.
Outcome: The proposed method outperforms other extractive methods using several corpora of different nature.

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