Is Three the Optimal Context Window for Memory-Based Word Sense Disambiguation?
نویسندگان
چکیده
In this work we research the effect of micro-context on a memory-based learning (MBL) system for word sense disambiguation. We report results achieved on the data set provided by the English Lexical Sample Task introduced in the Senseval 3 competition. Our study revisits the belief that the disambiguation task profits more from a wider context and indicates that in reality system performance is highest when a narrower context is considered.
منابع مشابه
Towards an optimal weighting of context words based on distance
Word Sense Disambiguation (WSD) often relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most cases, a fixed-sized window is used, which is determined by trial and error. In addition, words within the same window are weighted uniformly regardless to their distance to the target word. Intuitively, it seems more reaso...
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