… scales rather than binary ratings, we measure agreement in terms of correlation. Because
… 2 WSbest task we adopt the standard wsd measure of average pairwise agreement, and for r…

… measure contextual diversity, and they demonstrated that it is a better predictor of word
recognition speed than is log word … reflect the context-dependent variation in word meaning that …

… the meanings of new words from context. However, the percentage of word meanings that
can be derived from context … test for measuring degrees of knowledge of word meanings was …

… According to this thesis, a word that is consistently used in a similar context will be … of word
vector length to measure word significance, we assign part-ofspeech (POS) tags to each word …

… Word properties investigated included length, … of contextual support for each word,
readability as measured by standard formulas, and several measures of density of difficult words. …

… similarity out of context. In his paper we propose a probabilistic framework for measuring
similarity in context. Central to our approach is the intuition that word meaning is represented as …

… precisely the same contexts, and if our measuring instrument includes a sufficient number
of dimensions of the semantic space, then a significant difference should appear on at least …

… of a means of measuring meaning on a moment-by-moment basis. Here we present a novel
method for measuring meaning over … as a function of the context in which a word is uttered3. …

… , confounded with contextual diversity, the number of contexts in which a word has … measure
of contextual diversity, word-frequency effects were eliminated when effects of contextual …

… have controlled for knowledge of word meanings. Our view is that word meanings provide an
… ” require the selection of word meanings that are appropriate for a given context. What this …