Lexical Features is a method in text feature engineering that captures surface-level linguistic properties of text, such as word frequencies, n-grams, and vocabulary richness, to distinguish textual units based on their lexical composition and usage patterns.
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2017–2026
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Publications
800
Feature-rich part-of-speech tagging with a cyclic dependency network
Kristina Toutanova, Dan Klein, Christopher D. Manning et al. · 2003 · 2.9K citations · Full text
Relation Classification via Convolutional Deep Neural Network
Daojian Zeng, Kang Liu, Siwei Lai et al. · 2014 · 1.4K citations
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Columbia University
New York, United States
13 h-index
33 publications
1.3K citations
University of Edinburgh
Edinburgh, United Kingdom
11 h-index
30 publications
1.4K citations
University of Washington
Seattle, United States
10 h-index
15 publications
481 citations
University of Pennsylvania
Philadelphia, United States
10 h-index
47 publications
5K citations
University of Toronto
Toronto, Canada
10 h-index
15 publications
585 citations
The University of Melbourne
Melbourne, Australia
10 h-index
22 publications
1.8K citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
17 publications
1.6K citations
University of Southern California
Los Angeles, United States
9 h-index
26 publications
1.6K citations
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Repository · 18 publications · 560 citations
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7 publications · 2.4K citations
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6 publications · 229 citations
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- Computational Linguistics
5 publications · 436 citations
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5 publications · 773 citations
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