Extractive Text Summarization
32 papers with code • 5 benchmarks • 5 datasets
Given a document, selecting a subset of the words or sentences which best represents a summary of the document.
Benchmarks
These leaderboards are used to track progress in Extractive Text Summarization
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Libraries
Use these libraries to find Extractive Text Summarization models and implementations
CNN/Daily Mail
GovReport
DUC 2004
DebateSum
Latest papers with no code
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
In recent years, text summarization methods have attracted much attention again thanks to the researches on neural network models.
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
Transformer-based language models usually treat texts as linear sequences.
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization
Recent researches have demonstrated that BERT shows potential in a wide range of natural language processing tasks.
Multiplex Graph Neural Network for Extractive Text Summarization
Extractive text summarization aims at extracting the most representative sentences from a given document as its summary.
Topic Modeling Based Extractive Text Summarization
We utilize the lesser used and challenging WikiHow dataset in our approach to text summarization.
Improving Neural Text Summarization using Knowledge Graphs
In this paper, we propose a method for extractive text summarization using auto-regressive transformers.
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
They also often ignore the effect of topical information on capturing important contents.
MultiGBS: A multi-layer graph approach to biomedical summarization
Automatic text summarization methods generate a shorter version of the input text to assist the reader in gaining a quick yet informative gist.
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches
We will evaluate recent approaches and methods used for ATS and argue for the ones to be adopted for Sanskrit prose considering the unique properties of the language.
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization
The intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation methodology usually conducted in a traditional controlled laboratory environment.
