نتایج جستجو برای: category method

تعداد نتایج: 1697450  

1994
J. Robin B. Cockett David A. Spooner

We provide a systematic reconstruction of Abramsky's category SProc of synchronous processes Abr93]: SProc is isomorphic to a span category on a category of traces. The signiicance of the work is twofold: It shows that the original presentation of SProc in mixed formulations is unnecessary | a simple categorical description exists. Furthermore, the techniques employed in the reconstruction sugg...

2009
Gosse Bouma Filipe Massa

Wikipedia provides category information for a large number of named entities but the category structure of Wikipedia is associative, and not always suitable for linguistic applications. For this reason, a merger of Wikipedia andWordNet has been proposed. In this paper, we address the word sense disambiguation problem that needs to be solved when linking Dutch Wikipedia categories to polysemous ...

Journal: :Mathematical Structures in Computer Science 1998
Djordje Cubric Peter Dybjer Philip J. Scott

Received We show how to solve the word problem for simply typed-calculus by using a few well-known facts about categories of presheaves and the Yoneda embedding. The formal setting for these results is P-category theory, a version of ordinary category theory where each hom-set is equipped with a partial equivalence relation. The part of P-category theory we develop here is constructive and thus...

2007
Jun'ichi Kazama Kentaro Torisawa

We explore the use of Wikipedia as external knowledge to improve named entity recognition (NER). Our method retrieves the corresponding Wikipedia entry for each candidate word sequence and extracts a category label from the first sentence of the entry, which can be thought of as a definition part. These category labels are used as features in a CRF-based NE tagger. We demonstrate using the CoNL...

2006
Zsolt Minier Zalán Bodó Lehel Csató

Text categorization is an interesting problem in artificial intelligence that gets more and more attention from researchers and industry. One central problem of text categorization is the selection of a good feature set. We propose a novel method for term selection for each category based on segmenting the documents belonging to a category into cohesive sub-parts that define the subtopics of th...

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