Bootstrapping (compilers)

Known as: Bootstrap compiler, Bootstrapping (disambiguation), Compiler bootstrapping 
In computer science, bootstrapping is the process of writing a compiler (or assembler) in the source programming language that it intends to compile… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2006
Highly Cited
2006
Recommender Systems (RS) suggest to users items they might like such as movies or songs. However they are not able to generate… (More)
  • table 1
  • figure 1
  • figure 3
  • figure 2
  • figure 4
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Broad coverage, high quality parsers are available for only a handful of languages. A prerequisite for developing broad coverage… (More)
  • figure 2
  • figure 1
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
2004
Highly Cited
2004
This paper introduces the BootCaT toolkit, a suite of perl programs implementing an iterative procedure to bootstrap specialized… (More)
  • figure 1
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms… (More)
  • table 1
  • table 2
  • table 3
  • table 6
  • table 4
Is this relevant?
Highly Cited
2002
Highly Cited
2002
This paper describes a bootstrapping algorithm called Basilisk that learns highquality semantic lexicons for multiple categories… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Information extraction systems usually require two dictionaries: a semantic lexicon and a dictionary of extraction patterns for… (More)
Is this relevant?
Highly Cited
1999
Highly Cited
1999
When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training… (More)
Is this relevant?
Highly Cited
1999
Highly Cited
1999
When applying text classification to complex tasks, it is tedious and expensive to hand-label the large amounts of training data… (More)
Is this relevant?
Highly Cited
1998
Highly Cited
1998
We consider the problem of using a large unla beled sample to boost performance of a learn ing algorithm when only a small set of… (More)
Is this relevant?
Highly Cited
1993
Highly Cited
1993
  • David M. Hillis, James J. Bull
  • 1993
-Bootstrapping is a common method for assessing confidence in phylogenetic analyses. Although bootstrapping was first applied in… (More)
  • table 2
  • figure 3
  • figure 5
  • figure 6
  • figure 9
Is this relevant?