How MultiWordNet is used in Natural Language Processing applications
MultiWordNet can be used
for a variety of Natural Language Processing
- Information Retrieval:
synonymy relations are used for query
expansion to improve the recall of IR;
cross language correspondences between
Italian and English synsets are used for
Cross Language Information Retrieval.
- Semantic tagging: MultiWordNet
constitutes a large coverage sense inventory
which is the basis for semantic tagging,
i.e. texts are tagged with synset identifiers.
- Disambiguation: Semantic
relationships are used to measure the
semantic distance between words, which
can be used to disambiguate the meaning
of words in texts. Also semantic fields
have proved to be very useful for the
- Ontologies: MultiWordNet
can be seen as an ontology to be used
for a variety of knowledge-based NLP tasks.
- Terminologies: MultiWordNet
constitutes a robust framework supporting
the development of specific structured
"Related work" page to know more about the
projects related to MultiWordNet that we are
carrying out here in the HLT
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