A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
H Jin, Y Zhang, D Meng, J Wang, J Tan - arXiv preprint arXiv:2403.02901, 2024 - arxiv.org
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
Taxonomy of abstractive dialogue summarization: scenarios, approaches, and future directions
Abstractive dialogue summarization generates a concise and fluent summary covering the
salient information in a dialogue among two or more interlocutors. It has attracted significant …
salient information in a dialogue among two or more interlocutors. It has attracted significant …
Augmenting operations research with auto-formulation of optimization models from problem descriptions
We describe an augmented intelligence system for simplifying and enhancing the modeling
experience for operations research. Using this system, the user receives a suggested …
experience for operations research. Using this system, the user receives a suggested …
What's Wrong? Refining Meeting Summaries with LLM Feedback
Meeting summarization has become a critical task since digital encounters have become a
common practice. Large language models (LLMs) show great potential in summarization …
common practice. Large language models (LLMs) show great potential in summarization …
Gpt-calls: Enhancing call segmentation and tagging by generating synthetic conversations via large language models
Transcriptions of phone calls are of significant value across diverse fields, such as sales,
customer service, healthcare, and law enforcement. Nevertheless, the analysis of these …
customer service, healthcare, and law enforcement. Nevertheless, the analysis of these …
Team zoom@ automin 2023: Utilizing topic segmentation and llm data augmentation for long-form meeting summarization
F Schneider, M Turchi - … of the 16th International Natural Language …, 2023 - aclanthology.org
This paper describes Zoom's submission to the Second Shared Task on Automatic Minuting
at INLG 2023. We participated in Task A: generating abstractive summaries of meetings. Our …
at INLG 2023. We participated in Task A: generating abstractive summaries of meetings. Our …
Utterance-Aware Adaptive Data Labeling and Summarization: Exploiting Large Language Models for Unbiased Dialog Annotation
The field of dialogue summarization has advanced significantly with large language models
(LLMs), but their effectiveness can be limited by the size and diversity of training data, as …
(LLMs), but their effectiveness can be limited by the size and diversity of training data, as …
HyFit: Hybrid Fine-Tuning With Diverse Sampling for Abstractive Summarization
S Zhao, Y Cheng, Y Zhang, J Chen… - … Transactions on Big …, 2024 - ieeexplore.ieee.org
Abstractive summarization has made significant progress in recent years, which aims to
generate a concise and coherent summary that contains the most important facts from the …
generate a concise and coherent summary that contains the most important facts from the …
A Dialogues Summarization Algorithm Based on Multi-task Learning
H Chen, C Li, J Liang, L Tian - Neural Processing Letters, 2024 - Springer
With the continuous advancement of social information, the number of texts in the form of
dialogue between individuals has exponentially increased. However, it is very challenging …
dialogue between individuals has exponentially increased. However, it is very challenging …
SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis
I Malkiel, U Alon, Y Yehuda, S Keren… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Transcriptions of phone calls are of significant value across diverse fields, such as sales,
customer service, healthcare, and law enforcement. Nevertheless, the analysis of these …
customer service, healthcare, and law enforcement. Nevertheless, the analysis of these …