University of Cambridge > Talks.cam > NLIP Seminar Series > Modelling selectional preferences in a lexical hierarchy

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Modelling selectional preferences in a lexical hierarchy

Download to your calendar using vCal

If you have a question about this talk, please contact Ekaterina Kochmar .

The talk will describe Bayesian selectional preference models that incorporate knowledge from a lexical hierarchy such as WordNet. Inspired by previous work on probabilistic modelling with WordNet, these approaches are based either on “cutting” the hierarchy at an appropriate level of generalisation or on a “walking” model that selects a path from the root to a leaf. In an evaluation comparing against human plausibility judgements, we show that the models presented here outperform previously proposed comparable WordNet-based models, are competitive with state-of-the-art selectional preference models and are particularly well-suited to estimating plausibility for items that were not seen in training.

This talk is part of the NLIP Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

FW 11, Willam Gates Hall. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon Sociology Seminar Room, CB2 3RQ, Cambridge Goldsmiths 1, Lecture Theatre, Department of Materials Science & Metallurgy

Other talks

Organiser Welcome CUSCRS and Renal Medicine Title to be confirmed TBC Classical Reductions and Converse Bounds in Quantum Hypothesis Testing How Much Does Homology Really Know?
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity