1 citations · 1 across the 2 of their papers we have counts for
4 papers
SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi
Cross-lingual summarization (XLS) generates summaries in a language different from that of the input documents (e.g., English to Spanish), allowing speakers of the target language…
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization
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.…
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation
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. In some cases, reinforcement learning has b…
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
Inigo Jauregi Unanue, Jacob Parnell, Massimo Piccardi
Neural machine translation models are often biased toward the limited translation references seen during training. To amend this form of overfitting, in this paper we propose fine-…