Editing Word-sense disambiguation (section)

===Differences between dictionaries===
One problem with word sense disambiguation is deciding what the senses are, as different [[dictionary|dictionaries]] and [[thesaurus]]es will provide different divisions of words into senses. Some researchers have suggested choosing a particular dictionary, and using its set of senses to deal with this issue. Generally, however, research results using broad distinctions in senses have been much better than those using narrow ones.{{sfn|Navigli|Litkowski|Hargraves|2007|pp=30–35}}{{sfn|Pradhan|Loper|Dligach|Palmer|2007|pp=87–92}} Most researchers continue to work on [[fine-grained]] WSD.

Most research in the field of WSD is performed by using [[WordNet]] as a reference sense inventory for English. WordNet is a computational [[lexicon]] that encodes concepts as [[synonym]] sets (e.g. the concept of car is encoded as { car, auto, automobile, machine, motorcar }). Other resources used for disambiguation purposes include [[Roget's Thesaurus]]{{sfn|Yarowsky|1992|pp=454–460}} and [[Wikipedia]].{{sfn|Mihalcea|2007|pp=}} More recently, [[BabelNet]], a multilingual encyclopedic dictionary, has been used for multilingual WSD.<ref>A. Moro; A. Raganato; R. Navigli. [http://www.transacl.org/wp-content/uploads/2014/05/54.pdf Entity Linking meets Word Sense Disambiguation: a Unified Approach]. {{Webarchive|url=https://web.archive.org/web/20140808063116/http://www.transacl.org/wp-content/uploads/2014/05/54.pdf |date=2014-08-08 }}. Transactions of the [[Association for Computational Linguistics]] (TACL). 2. pp. 231–244. 2014.</ref>