Abstractive Dialogue Summarization

16 papers with code • 1 benchmarks • 6 datasets

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Most implemented papers

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

dascim/acl2018_abssumm ACL 2018

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

krystalan/clidsum 1 May 2022

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

guokan-shang/ami-and-icsi-corpora 8 Aug 2022

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 15 Sep 2018

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 5 Feb 2019

Dialogue summarization is a challenging problem due to the informal and unstructured nature of conversational data.

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

cylnlp/DialogSum Findings (ACL) 2021

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.