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Extractive Document Summarization

7 papers with code ยท Natural Language Processing
Subtask of Text Summarization

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Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization

22 Jun 2019

As each topic defines a semantic connection among a group of sentences with a certain degree of membership for each sentence, we propose a fuzzy hypergraph model in which nodes are sentences and fuzzy hyperedges are topics.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION

Language Model Pre-training for Hierarchical Document Representations

ICLR 2019

Hierarchical neural architectures are often used to capture long-distance dependencies and have been applied to many document-level tasks such as summarization, document segmentation, and sentiment analysis.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION LANGUAGE MODELLING QUESTION ANSWERING SENTIMENT ANALYSIS

Neural Latent Extractive Document Summarization

EMNLP 2018

Extractive summarization models need sentence level labels, which are usually created with rule-based methods since most summarization datasets only have document summary pairs.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION

Neural Latent Extractive Document Summarization

EMNLP 2018

Extractive summarization models require sentence-level labels, which are usually created heuristically (e. g., with rule-based methods) given that most summarization datasets only have document-summary pairs.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION

Neural Document Summarization by Jointly Learning to Score and Select Sentences

ACL 2018

In this paper, we present a novel end-to-end neural network framework for extractive document summarization by jointly learning to score and select sentences.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION

A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)

20 May 2018

To this end, we proposed a novel model that addresses several issues that are not adequately modeled by the previously proposed models, such as the memory problem and incorporating the knowledge of document structure.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION REPRESENTATION LEARNING

Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization

WS 2017

The centroid-based model for extractive document summarization is a simple and fast baseline that ranks sentences based on their similarity to a centroid vector.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION MULTI-DOCUMENT SUMMARIZATION

Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization

WS 2017

The centroid-based model for extractive document summarization is a simple and fast baseline that ranks sentences based on their similarity to a centroid vector.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION MULTI-DOCUMENT SUMMARIZATION

Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks

5 Aug 2017

Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content.

DOCUMENT SUMMARIZATION EXTRACTIVE DOCUMENT SUMMARIZATION MULTI-DOCUMENT SUMMARIZATION