Document

Known as: 🖺, Documented, Graphical document 
A document is a written, drawn, presented or recorded representation of thoughts. Originating from the Latin Documentum meaning lesson - the verb… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1938-2017
02000400019382016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the… (More)
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Highly Cited
2007
Highly Cited
2007
This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and… (More)
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Highly Cited
2006
Highly Cited
2006
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based… (More)
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Highly Cited
2003
Highly Cited
2003
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a… (More)
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Highly Cited
2001
Highly Cited
2001
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words… (More)
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Highly Cited
2000
Highly Cited
2000
This paper presents the results of an experimental study of some common document clustering techniques. In particular, we compare… (More)
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Highly Cited
1999
Highly Cited
1999
  • KAMAL NIGAMy, ANDREW MCCALLUMzy, SEBASTIAN THRUNy, TOM MITCHELLy
  • 1999
This paper shows that the accuracy of learned text classiiers can be improved by augmenting a small number of labeled training… (More)
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Highly Cited
1998
Highly Cited
1998
This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and… (More)
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Highly Cited
1997
Highly Cited
1997
Given two documents A and B we define two mathematical notions: their resemblance r(A,B) and their containment c(A,B) that seem… (More)
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Highly Cited
1996
Highly Cited
1996
Automatic information retrieval systems have to deal with documents of varying lengths in a text collection. Document length… (More)
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