A survey on dialogue summarization: Recent advances and new frontiers
Dialogue summarization aims to condense the original dialogue into a shorter version
covering salient information, which is a crucial way to reduce dialogue data overload …
covering salient information, which is a crucial way to reduce dialogue data overload …
Dialoglm: Pre-trained model for long dialogue understanding and summarization
Dialogue is an essential part of human communication and cooperation. Existing research
mainly focuses on short dialogue scenarios in a one-on-one fashion. However, multi-person …
mainly focuses on short dialogue scenarios in a one-on-one fashion. However, multi-person …
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 …
Low-resource dialogue summarization with domain-agnostic multi-source pretraining
With the rapid increase in the volume of dialogue data from daily life, there is a growing
demand for dialogue summarization. Unfortunately, training a large summarization model is …
demand for dialogue summarization. Unfortunately, training a large summarization model is …
Unsupervised dialogue topic segmentation with topic-aware contrastive learning
Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue
modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue …
modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue …
CSDS: A fine-grained Chinese dataset for customer service dialogue summarization
Dialogue summarization has drawn much attention recently. Especially in the customer
service domain, agents could use dialogue summaries to help boost their works by quickly …
service domain, agents could use dialogue summaries to help boost their works by quickly …
Todsum: Task-oriented dialogue summarization with state tracking
Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues,
while summarization datasets for the broadly used task-oriented dialogue haven't been …
while summarization datasets for the broadly used task-oriented dialogue haven't been …
Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization
Large language models (LLMs) like LLaMA, Baichuan and Bloom models show remarkable
ability with instruction fine-tuning in many natural language tasks. Nevertheless, for the …
ability with instruction fine-tuning in many natural language tasks. Nevertheless, for the …
Domain-oriented prefix-tuning: Towards efficient and generalizable fine-tuning for zero-shot dialogue summarization
The most advanced abstractive dialogue summarizers lack generalization ability on new
domains and the existing researches for domain adaptation in summarization generally rely …
domains and the existing researches for domain adaptation in summarization generally rely …
Unsupervised dialogue topic segmentation with topic-aware utterance representation
Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue
modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue …
modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue …