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Relational models and metascience
Relational models of the lexicon
Theory of Information and Coding
Theory of Information and Coding
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
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SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Pattern-based semantic tagging for ontology population
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Reordering constraint based on document-level context
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Annotating knowledge work lifelog: term extraction from sensor and operation history
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Programming and Computing Software
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This paper provides an approach to the semi-automatic extraction of collocations from corpora using statistics. The growing availability of large textual corpora, and the increasing number of applications of collocation extraction, has given rise to various approaches on the topic. In this paper, we address the problem of nested collocations; that is, those being part of longer collocations. Most approaches till now, treated substrings of collocations as collocations, only if they appeared frequently enough by themselves in the corpus. These techniques left a lot of collocations unextracted. In this paper, we propose an algorithm for a semi-automatic extraction of nested uninterrupted and interrupted collocations, paying particular attention to nested collocation.