Automated metrics for medical multi-document summarization disagree with human evaluations
Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in
the case of MDS for biomedical literature reviews, where models must synthesize …
the case of MDS for biomedical literature reviews, where models must synthesize …
Aligning factual consistency for clinical studies summarization through reinforcement learning
In the rapidly evolving landscape of medical research, accurate and concise summarization
of clinical studies is crucial to support evidence-based practice. This paper presents a novel …
of clinical studies is crucial to support evidence-based practice. This paper presents a novel …
Overview of MSLR2022: A shared task on multi-document summarization for literature reviews
We provide an overview of the MSLR2022 shared task on multi-document summarization for
literature reviews. The shared task was hosted at the Third Scholarly Document Processing …
literature reviews. The shared task was hosted at the Third Scholarly Document Processing …
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization
We investigate pre-training techniques for abstractive multi-document summarization (MDS),
which is much less studied than summarizing single documents. Though recent work has …
which is much less studied than summarizing single documents. Though recent work has …
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews
We provide an overview of the MSLR2022 shared task on multi-document summarization for
literature reviews. The shared task was hosted at the Third Scholarly Document Processing …
literature reviews. The shared task was hosted at the Third Scholarly Document Processing …