Abstractive Dialogue Summarization
16 papers with code • 0 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Abstractive Dialogue Summarization
SAMSum
SummZoo
Most implemented papers
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
Chen-Wang-CUHK/DialSum-with-SUFM-and-FR
•
•
WS 2019
This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries.
The Cross-lingual Conversation Summarization Challenge
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.
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.
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts
MiuLab/DialSum
•
•
Neural abstractive summarization has been increasingly studied, where the prior work mainly focused on summarizing single-speaker documents (news, scientific publications, etc).
Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization
saketdingliwal/Abstractive-Dialogue-Summarization
•
•
Dialogue summarization is a challenging problem due to the informal and unstructured nature of conversational data.
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
GT-SALT/Multi-View-Seq2Seq
•
•
EMNLP 2020
Text summarization is one of the most challenging and interesting problems in NLP.
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
xcfcode/DHGN
•
•
CCL 2021
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.
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
Proposal of large-scale datasets has facilitated research on deep neural models for news summarization.
Controllable Abstractive Dialogue Summarization with Sketch Supervision
salesforce/ConvSumm
•
•
Findings (ACL) 2021
In this paper, we aim to improve abstractive dialogue summarization quality and, at the same time, enable granularity control.
