dialogue summary
7 papers with code • 1 benchmarks • 1 datasets
Most implemented papers
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries.
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
In detail, we consider utterance and commonsense knowledge as two different types of data and design a Dialogue Heterogeneous Graph Network (D-HGN) for modeling both information.
Controllable Neural Dialogue Summarization with Personal Named Entity Planning
The conditional sequences are modulated to decide what types of information or what perspective to focus on when forming summaries to tackle the under-constrained problem in summarization tasks.
A Focused Study on Sequence Length for Dialogue Summarization
Output length is critical to dialogue summarization systems.
Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization
Specifically, we first conduct domain-aware pre-training using large-scale multi-scenario multi-domain dialogue data to enhance the adaptability of our pre-trained model.
Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization
We often summarize a multi-party conversation in two stages: chunking with homogeneous units and summarizing the chunks.