We have hosted the application supersensetagger in order to run this application in our online workstations with Wine or directly.


Quick description about supersensetagger:

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.

Audience: Science/Research.
User interface: Console/Terminal.
Programming Language: C++, Java.
Database Environment: Flat-file.

Categories:
Artificial Intelligence, Information Analysis

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