Extractive Summarization

102 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Screenplay Summarization Using Latent Narrative Structure

EdinburghNLP/csi-corpus ACL 2020

Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.

CX DB8: A queryable extractive summarizer and semantic search engine

Hellisotherpeople/CX_DB8 7 Dec 2020

Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production.

Contextualized Rewriting for Text Summarization

baoguangsheng/ctx-rewriter-for-summ 31 Jan 2021

Extractive summarization suffers from irrelevance, redundancy and incoherence.

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining

litesslhub/disco 20 May 2023

Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks.

Neural Summarization by Extracting Sentences and Words

adrian9631/TextSumma ACL 2016

Traditional approaches to extractive summarization rely heavily on human-engineered features.

DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks

tensorflow/models 13 Mar 2017

In this work, we present a compact, modular framework for constructing novel recurrent neural architectures.

Neural Extractive Summarization with Side Information

shashiongithub/sidenet 14 Apr 2017

Most extractive summarization methods focus on the main body of the document from which sentences need to be extracted.

Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization

Tixierae/EMNLP2017_NewSum WS 2017

We present a fully unsupervised, extractive text summarization system that leverages a submodularity framework introduced by past research.