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Extra seminar: Jey Han Lau – Unsupervised Sense Learning and Its Applications

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In this talk, I will describe an unsupervised topic modelling approach to do word sense induction, i.e. to automatically learn the meaning of words based on text collection. I will then talk about two applications of the methodology: (1) automatic detection of new senses - senses that are used in one corpus but unseen in another; and (2) automatic adaptation of induced senses to existing inventory-defined senses. For the latter, we will show that adapting the senses allows us to automatically learn the predominant sense, compute sense distribution, and identifying senses that are not recorded in the sense inventory ("novel sense") and senses that are not used in the corpus ("unattested sense").

Date: 2015-04-21 15:15 - 17:00

Location: K333, Lennart Torstenssonsgatan 8

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Page updated: 2015-04-08 15:35

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