SuperSenseTagger

A SuperSenseTagger is a Semantic Annotation System that adds WordNet Supersenses.

• Context:
  • It uses a Discriminative Learning Algorithm based on a Hidden Markov Model.

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References

2009

• http://sourceforge.net/projects/supersensetag/
  • 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.

2008

• (Picca et al., 2008) ⇒ Davide Picca, Alfio Massimiliano Gliozzo, and Massimiliano Ciaramita. (2008). “Supersense Tagger for Italian.” In: Proceedings of LREC Conference (LREC 2008)

2007

• (Picca, 2007) ⇒ Davide Picca. (2007). “Semantic Domains and Supersense Tagging for Domain-Specific Ontology Learning.” In: Proceedings of RIAO 2007.

2006

• (Ciaramita & Altun, 2006) ⇒ Massimiliano Ciaramita, and Yasemin Altun. (2006). “Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2006).

2003

• (Ciaramita & Johnson, 2003) ⇒ Massimiliano Ciaramita, and Mark Johnson. (2003). “Supersense Tagging of Unknown Nouns in WordNet.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2003).

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