TextRank by Rada Mihalcea and Paul Tarau
This week we will be continuing our graph-theory based approach to NLP and take a look at TextRank: Bringing Order to Texts. The paper claims to show us how to use graph-ranking approaches in some unsupervised learning tasks such as keyword and sentence extraction.
TextRank, NLP, natural language processing, unsupervised learning, PageRank, HITS, computer science, algorithms
Technorati Tags: TextRank, NLP, natural language processing, unsupervised learning, PageRank, HITS, computer science, algorithms
Paper of the Week » Blog Archive » Discussion of Section 3 of TextRank wrote,
[...] 3 of TextRank: Bringing Order Into Texts covers the first application of the TextRank approach proposed in section 2. The authors have [...]
Link | January 31st, 2007 at 6:29 pm
John wrote,
This is very facinating but a bit over my head. DO you have any ideas or site links I could get started on the basics.
Link | June 4th, 2007 at 4:14 am