The software annotates text with 41 broad semantic categories (Wordnet supersenses) for both nouns and verbs; i.e., it performs both sense disambiguation and named-entity recognition. The tagger implements a discriminatively-trained Hidden Markov Model.

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Additional Project Details

Intended Audience

Science/Research

User Interface

Console/Terminal

Programming Language

C++, Java

Database Environment

Flat-file

Registered

2006-06-12