Search Results for author: Jacob Parnell

Found 3 papers, 1 papers with code

A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization

1 code implementation ACL 2022 Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi

Multi-document summarization (MDS) has made significant progress in recent years, in part facilitated by the availability of new, dedicated datasets and capacious language models.

Document Summarization Multi-Document Summarization

RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation

no code implementations ACL (spnlp) 2021 Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi

To date, most abstractive summarisation models have relied on variants of the negative log-likelihood (NLL) as their training objective.


Cannot find the paper you are looking for? You can Submit a new open access paper.