Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 33 Similar Profiles
Parsing Arts & Humanities
structure Social Sciences
language Social Sciences
strategy Social Sciences
algorithm Social Sciences
model Social Sciences
stochastics Social Sciences
Computational linguistics Arts & Humanities

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Grants 2003 2010

Research Output 1989 2013

  • 519 Citations
  • 10 Scopus h-Index
  • 7 Article
  • 4 Conference contribution
  • 1 Review article

Labeling the languages of words in mixed-language documents using weakly supervised methods

King, B. & Abney, S. 2013 NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference. Association for Computational Linguistics (ACL), p. 1110-1119 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

language
Labeling
problem
Mixed language
document
2 Citations

Statistical methods in language processing

Abney, S. May 2011 In : Wiley Interdisciplinary Reviews: Cognitive Science. 2, 3, p. 315-322 8 p.

Research output: Contribution to journalReview article

Linguistics
Artificial Intelligence
Information Theory
Research Design
Datasets

The human language project: Building a universal corpus of the world's languages

Abney, S. & Bird, S. 2010 ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. p. 88-97 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

language
Computational linguistics
Heritage
Train
linguistics
3 Citations

Automatically inducing a part-of-speech tagger by projecting from multiple source languages across aligned corpora

Fossum, V. & Abney, S. 2005 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3651 LNAI, p. 862-873 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3651 LNAI)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Common Bile Duct Diseases
Experiments
Target
Airway Obstruction
Experiment
63 Citations

Understanding the Yarowsky algorithm

Abney, S. Sep 2004 In : Computational Linguistics. 30, 3, p. 365-396 32 p.

Research output: Contribution to journalArticle

algorithm
function
Bootstrapping
computational linguistics
understanding