Meeting Summarization
14 papers with code • 2 benchmarks • 6 datasets
Generating a summary from meeting transcriptions.
A survey for this task: Abstractive Meeting Summarization: A Survey
Benchmarks
These leaderboards are used to track progress in Meeting Summarization
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Datasets
QMSum
MeetingBank
Latest papers
MeetingBank: A Benchmark Dataset for Meeting Summarization
YebowenHu/MeetingBank-utils
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However, there is a crucial lack of annotated meeting corpora for developing this technology, as it can be hard to collect meetings, especially when the topics discussed are confidential.
Private Meeting Summarization Without Performance Loss
Meeting summarization has an enormous business potential, but in addition to being a hard problem, roll-out is challenged by privacy concerns.
VCSUM: A Versatile Chinese Meeting Summarization Dataset
Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data.
Enhancing Large Language Model with Self-Controlled Memory Framework
Large Language Models (LLMs) are constrained by their inability to process lengthy inputs, resulting in the loss of critical historical information.
Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization
Previous works typically concatenate the query with meeting transcripts and implicitly model the query relevance only at the token level with attention mechanism.
Abstractive Meeting Summarization: A Survey
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to medical consultations to customer service calls.
Meeting Summarization with Pre-training and Clustering Methods
wxj77/meetingsummarization
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Lastly, we compare the performance of our baseline models with BART, a state-of-the-art language model that is effective for summarization.
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
psunlpgroup/summ-n
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ACL 2022
To the best of our knowledge, Summ$^N$ is the first multi-stage split-then-summarize framework for long input summarization.
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Yale-LILY/QMSum
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NAACL 2021
As increasing numbers of meetings are recorded and transcribed, meeting summaries have become essential to remind those who may or may not have attended the meetings about the key decisions made and the tasks to be completed.
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization
xcfcode/DDAMS
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First, we present a Dialogue Discourse-Dware Meeting Summarizer (DDAMS) to explicitly model the interaction between utterances in a meeting by modeling different discourse relations.
