Applications of statistical semantics

Research in Statistical Semantics has resulted in a wide variety of algorithms that use the Distributional Hypothesis to discover many aspects of semantics, by applying statistical techniques to large corpora:

* Measuring the similarity in word meanings (Lund et al., 1995; Landauer and Dumais, 1997; Terra and Clarke, 2003)

* Measuring the similarity in word relations (Turney, 2006)

* Discovering words with a given relation (Hearst, 1992)

* Classifying relations between words (Turney and Littman, 2005)

* Extracting keywords from documents (Frank et al., 1999; Turney, 2000)

* Measuring the cohesiveness of text (Turney, 2003)

* Discovering the different senses of words (Pantel and Lin, 2002)

* Distinguishing the different senses of words (Turney, 2004)

* Subcognitive aspects of words (Turney, 2001)

* Distinguishing praise from criticism (Turney and Littman, 2003)