Paper: Towards an optimal weighting of context words based on distance

ACL ID C10-1013
Title Towards an optimal weighting of context words based on distance
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Word Sense Disambiguation (WSD) of- ten 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 reason- able to assign a stronger weight to con- text words closer to the target word. How- ever, it is difficult to manually define the optimal weighting function based on dis- tance. In this paper, we propose a unsu- pervised method for determining the op- timal weights for context words accord- ing to their distance. The general idea is that the optimal weights should maximize the similarity of two c...