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Date: 2013
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/265207
Description: We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding zero resource (unsupervised) speech technologies and related models of e ... More
Reviewed: Reviewed
Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/166947
Description: Bayesian models are usually learned using batch algorithms that have to iterate multiple times over the full dataset. This is both computationally expensive and, from a cognitive point of view, highly ... More
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Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/160320
Description: In a collocation, the choice of one lexical item depends on the choice made for another. This poses a problem for simple approaches to lexicalisation in natural language generation systems. In the Mea ... More
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Reviewed: Reviewed
Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/143178
Description: It is often assumed that ‘grounded’ learning tasks are beyond the scope of grammatical inference techniques. In this paper, we show that the grounded task of learning a semantic parser from ambiguous ... More
Reviewed: Reviewed
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