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"Towards Incremental Parsing of Natural Language using Recursive Neural Networks"^^ .
"In this paper we develop novel algorithmic ideas for building a natural language\nparser grounded upon the hypothesis of incrementality. Although widely accepted\nand experimentally supported under a cognitive perspective as a model of the human\nparser, the incrementality assumption has never been exploited for building automatic\nparsers of unconstrained real texts. The essentials of the hypothesis are that words are\nprocessed in a left-to-right fashion, and the syntactic structure is kept totally connected\nat each step.\nOur proposal relies on a machine learning technique for predicting the correctness of\npartial syntactic structures that are built during the parsing process. A recursive neural\nnetwork architecture is employed for computing predictions after a training phase on\nexamples drawn from a corpus of parsed sentences, the Penn Treebank. Our results\nindicate the viability of the approach andlay out the premises for a novel generation of\nalgorithms for natural language processing which more closely model human parsing.\nThese algorithms may prove very useful in the development of eĆcient parsers."^^ .
"2002" .
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"Kluwer academic publishers"^^ .
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"Applied Intelligence"^^ .
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"Fabrizio"^^ .
"Costa"^^ .
"Fabrizio Costa"^^ .
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"Paolo"^^ .
"Frasconi"^^ .
"Paolo Frasconi"^^ .
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"Vincenzo"^^ .
"Lombardo"^^ .
"Vincenzo Lombardo"^^ .
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"Giovanni"^^ .
"Soda"^^ .
"Giovanni Soda"^^ .
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"Towards Incremental Parsing of Natural Language using Recursive Neural Networks (PDF)"^^ .
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"ai-2001-Towards.pdf"^^ .
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"Towards Incremental Parsing of Natural Language using Recursive Neural Networks (Indexer Terms)"^^ .
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"indexcodes.txt"^^ .
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"HTML Summary of #2089 \n\nTowards Incremental Parsing of Natural Language using Recursive Neural Networks\n\n" .
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"Language" .
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"Machine Learning" .
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"Neural Nets" .
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