Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

September 16, 2014

New Directions in Vector Space Models of Meaning

Filed under: Meaning,Natural Language Processing,Vector Space Model (VSM),Vectors — Patrick Durusau @ 8:50 am

New Directions in Vector Space Models of Meaning by Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, and Phil Blunsom. (video)

From the description:

This is the video footage, aligned with slides, of the ACL 2014 Tutorial on New Directions in Vector Space Models of Meaning, by Edward Grefenstette (Oxford), Karl Moritz Hermann (Oxford), Georgiana Dinu (Trento) and Phil Blunsom (Oxford).

This tutorial was presented at ACL 2014 in Baltimore by Ed, Karl and Phil.

The slides can be found at http://www.clg.ox.ac.uk/resources.

Running time is 2:45:12 so you had better get a cup of coffee before you start.

Includes a review of distributional models of semantics.

The sound isn’t bad but the acoustics are so you will have to listen closely. Having the slides in front of you helps as well.

The semantics part starts to echo topic map theory with the realization that having a single token isn’t going to help you with semantics. Tokens don’t stand alone but in a context of other tokens. Each of which has some contribution to make to the meaning of a token in question.

Topic maps function in a similar way with the realization that identifying any subject of necessity involves other subjects, which have their own identifications. For some purposes, we may assume some subjects are sufficiently identified without specifying the subjects that in our view identify it, but that is merely a design choice that others may choose to make differently.

Working through this tutorial and the cited references (one advantage to the online version) will leave you with a background in vector space models and the contours of the latest research.

I first saw this in a tweet by Kevin Safford.

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