Evaluating a semantic network automatically constructed from lexical co-occurrence on a word sense disambiguation task
|Evaluating a semantic network automatically constructed from lexical co-occurrence on a word sense disambiguation task|
|Author(s)||Szumlanski S., Gomez F.|
|Published in||CoNLL 2011 - Fifteenth Conference on Computational Natural Language Learning, Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Acquisition process, Co-occurrence, Objective evaluation, Semantic network, Sense inventories, Synsets, Wikipedia, Word net, Word Sense Disambiguation, Metadata, Natural language processing systems)|
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Evaluating a semantic network automatically constructed from lexical co-occurrence on a word sense disambiguation task is a 2011 conference paper written in English by Szumlanski S., Gomez F. and published in CoNLL 2011 - Fifteenth Conference on Computational Natural Language Learning, Proceedings of the Conference.
We describe the extension and objective evaluation of a network1 of semantically related noun senses (or concepts) that has been automatically acquired by analyzing lexical co occurrence in Wikipedia. The acquisition process makes no use of the metadata or links that have been manually built into the encyclopedia, and nouns in the network are automatically disambiguated to their corresponding noun senses without supervision. For this task, we use the noun sense inventory of Word Net 3.0. Thus, this work can be conceived of as augmenting the Word Net noun ontology with un weighted, undirected related to edges between synsets. Our network contains 208,832 such edges.
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