ImageNet
Can we connect images to the nodes of WordNet? See the pictures we've collected.
People
|
Li Fei-Fei (*), Kai Li, Jia Deng, Hao Su, Richard Socher
|
|
The participants on this project are supported by the Gordon Wu fellowship, ERP and Upton Fellowship, NSF grant CNS-0509447, Google, Intel, Microsoft, and Yahoo
|
Evocation
We are working on a system to add a new relationship to WordNet that connects all parts of speech. Our goal is to bootstrap human ratings of evocation to the entirety of WordNet via machine learning.
People
|
Jordan Boyd-Graber (*), Christiane Fellbaum, Dan Osherson, Rob Schapire
|
|
This work has been supported by the National Science Foundation
|
Sense Disambiguation
In order to apply WordNet to untagged corpora, techniques must be
developed to perform word sense disambiguation (i.e. determine which
WordNet synset corresponds to a particular word in the text). We are
applying machine learning techniques to effect accurate word sense
disambiguation, thereby allowing a variety of NLP techniques which
leverage WordNet to be applied to a wide body of corpora.
People
|
Dave Blei(*), Miroslav Dudik, Jonathan Chang, Jordan Boyd-Graber, Dan Osherson, Rob Schapire
|
From WordNet to a Knowledge Base for Question Answering
People
|
Christiane Fellbaum(*), Peter Clark (Boeing), Jerry Hobbs (ISI/USC)
|
Robust Extraction of Meaning
People
|
Christiane Fellbaum(*), Chris Manning (Stanford), Andrew Ng (Stanford), Dan Jurafsky (Stanford)
|
(*) Contact person
|
