Paper: A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge

ACL ID N09-1004
Title A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

Word sense disambiguation is the process of determining which sense of a word is used in a given context. Due to its importance in understanding semantics of natural languages, word sense disambiguation has been exten- sively studied in Computational Linguistics. However, existing methods either are brit- tle and narrowly focus on specific topics or words, or provide only mediocre performance in real-world settings. Broad coverage and disambiguation quality are critical for a word sense disambiguation system. In this paper we present a fully unsupervised word sense dis- ambiguation method that requires only a dic- tionary and unannotated text as input. Such an automatic approach overcomes the problem of brittleness suffered in many existing methods and makes broad-coverage word sense dis- ...