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ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Text Mining for Biology And Biomedicine
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Deep semantic interpretations of legal texts
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Automatic detection of arguments in legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
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Proceedings of the 12th International Conference on Artificial Intelligence and Law
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Law and the Semantic Web
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Law and the Semantic Web
ULISSE: an unsupervised algorithm for detecting reliable dependency parses
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
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ACM Transactions on Asian Language Information Processing (TALIP)
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This work is an investigation into the peculiarities of legal language with respect to ordinary language. Based on the idea that a shallow parsing approach can help to provide enough detailed linguistic information, this work presents the results obtained by shallow parsing (i.e. chunking) corpora of Italian and English legal texts and comparing them with corpora of ordinary language. In particular, this paper puts the emphasis of how understanding the syntactic and lexical characteristics of this specialised language has practical importance in the development of domain–specific Knowledge Management applications.