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On the role of lexical features in sequence labeling
Yoav Goldberg
, Michael Elhadad
Ben-Gurion University of the Negev
Research output
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Contribution to conference
›
Paper
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peer-review
9
Scopus citations
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Dive into the research topics of 'On the role of lexical features in sequence labeling'. Together they form a unique fingerprint.
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Computer Science
Support Vector Machine
100%
Syntactics
100%
Named Entity Recognition
100%
Extracted Feature
100%
Keyphrases
Lexical Features
100%
Sequence Labeling
100%
Training Corpus
50%
Error Analysis
16%
Distinctive Features
16%
Named Entity Recognition
16%
Feature Extracting
16%
Syntactic Ambiguity
16%
Reduced Model
16%
NLP.
16%
Arts and Humanities
Lexical
100%
Corpus
50%
Entity
16%
Anchoring
16%
Chunking
16%
Natural Language Processing
16%
Syntactic ambiguity
16%
Contrastive
16%
Technique
16%
Earth and Planetary Sciences
State of the Art
100%
Syntax
100%