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Text graph

In natural language processing (NLP), a text graph is a graph representation of a text item (document, passage or sentence). It is typically created… 
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Papers overview

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2019
2019
We build a bridge between neural network-based machine learning and graph-based natural language processing and introduce a… 
2016
2016
Text theme is the key of text clustering, while the co-occurrence words can be very stronger to express text theme in document… 
2013
2013
Coverage and saliency are major problems in Automatic Text Summarization. Sentence clusteringapproaches are methods able to… 
2012
2012
Formal methods have been successfully used to establish assurances for safety-critical systems with mathematical rigor. Based on… 
2007
2007
This paper presents our new, querybased multi-document summarization system used in DUC 2007. Current graph-based approaches to… 
2007
2007
Current graph-based approaches to automatic text summarization, such as LexRank and TextRank, assume a static graph which does… 
2005
2005
Learning and understanding natural languages are usually considered as independent tasks in natural language processing. These… 
1992
1992
In this paper global patterns of thematic text organization are considered within the framework of a distributed model of text… 
Highly Cited
1988
Highly Cited
1988
  • U. ReimerU. Hahn
  • 1988
  • Corpus ID: 62287269
A model of knowledge-based text condensation is presented which has been implemented as part of the text information system TOPIC…