Melanie Tosik

06 December 2013

Word meaning in context

For a really great class on distributional semantics, I presented a paper on “Measuring Distributional Similarity in Context” (Dinu and Lapata, 2010).

In a nutshell, they attempt to model the intuition that word meaning is represented as a probability distribution over a set of latent senses, and thus modulated by context. They employ two different models: the first based on non-negative matrix factorization (NMF), and the second implementing latent Dirichlet allocation (LDA).

My final paper and the presentation slides are available (in German).

Til next time,