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A Summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
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Collocations in multilingual natural language generation : Lexical functions meet Lexical functional grammar
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Reducing grounded learning tasks to grammatical inference
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Abstract:
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 training data as discussed in Kim and Mooney (2010) can be reduced to a Probabilistic Context-Free Grammar learning task in a way that gives state of the art results. We further show that additionally letting our model learn the language’s canonical word order improves its performance and leads to the highest semantic parsing f-scores previously reported in the literature. ; 10 page(s)
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Keyword:
080100 Artificial Intelligence and Image Processing
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URL: http://hdl.handle.net/1959.14/143178
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