A survey on multi-modal summarization

A Jangra, S Mukherjee, A Jatowt, S Saha… - ACM Computing …, 2023 - dl.acm.org
The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …

QMSum: A new benchmark for query-based multi-domain meeting summarization

M Zhong, D Yin, T Yu, A Zaidi, M Mutuma, R Jha… - arxiv preprint arxiv …, 2021 - arxiv.org
Meetings are a key component of human collaboration. As increasing numbers of meetings
are recorded and transcribed, meeting summaries have become essential to remind those …

[PDF][PDF] Automatic Text Summarization: A State-of-the-Art Review.

O Klymenko, D Braun, F Matthes - ICEIS (1), 2020 - pdfs.semanticscholar.org
Despite the progress that has been achieved in over 50 years of research, automatic text
summarization systems are still far from perfect, posing many challenges to the researchers …

Interpretable long-form legal question answering with retrieval-augmented large language models

A Louis, G van Dijck, G Spanakis - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Many individuals are likely to face a legal dispute at some point in their lives, but their lack of
understanding of how to navigate these complex issues often renders them vulnerable. The …

Aquamuse: Automatically generating datasets for query-based multi-document summarization

S Kulkarni, S Chammas, W Zhu, F Sha, E Ie - arxiv preprint arxiv …, 2020 - arxiv.org
Summarization is the task of compressing source document (s) into coherent and succinct
passages. This is a valuable tool to present users with concise and accurate sketch of the …

Query-oriented text summarization based on hypergraph transversals

H Van Lierde, TWS Chow - Information Processing & Management, 2019 - Elsevier
The rise in the amount of textual resources available on the Internet has created the need for
tools of automatic document summarization. The main challenges of query-oriented …

Exploring neural models for query-focused summarization

J Vig, AR Fabbri, W Kryściński, CS Wu… - arxiv preprint arxiv …, 2021 - arxiv.org
Query-focused summarization (QFS) aims to produce summaries that answer particular
questions of interest, enabling greater user control and personalization. While recently …

A survey on medical document summarization

R Jain, A Jangra, S Saha, A Jatowt - arxiv preprint arxiv:2212.01669, 2022 - arxiv.org
The internet has had a dramatic effect on the healthcare industry, allowing documents to be
saved, shared, and managed digitally. This has made it easier to locate and share important …

Automatic text summarization: What has been done and what has to be done

A Aries, WK Hidouci - arxiv preprint arxiv:1904.00688, 2019 - arxiv.org
Summaries are important when it comes to process huge amounts of information. Their most
important benefit is saving time, which we do not have much nowadays. Therefore, a …

On the trade-off between redundancy and cohesiveness in extractive summarization

R Cardenas, M Gallé, SB Cohen - Journal of Artificial Intelligence Research, 2024 - jair.org
Extractive summaries are usually presented as lists of sentences with no expected cohesion
between them and with plenty of redundant information if not accounted for. In this paper, we …