WordNet Nouns: Classes and Instances

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WordNet Nouns: Classes and Instances

If you were to say “Women are numerous,” you would not wish to imply that any particular woman is numerous. Instead, you would probably mean something like “The class of women contains numerous instances.” To say, on the other hand, “Rosa Parks is numerous,” would be nonsense. Whereas the noun woman denotes a class, the proper noun Rosa Parks is an instance of that class. As Quirk et al. (1985,...

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Squibs and Discussions: WordNet Nouns: Classes and Instances

If you were to say “Women are numerous,” you would not wish to imply that any particular woman is numerous. Instead, you would probably mean something like “The class of women contains numerous instances.” To say, on the other hand, “Rosa Parks is numerous,” would be nonsense. Whereas the noun woman denotes a class, the proper noun Rosa Parks is an instance of that class. As Quirk et al. (1985,...

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Mapping WordNet Instances to Wikipedia

Lexical resource differ from encyclopaedic resources and represent two distinct types of resource covering general language and named entities respectively. However, many lexical resources, including Princeton WordNet, contain many proper nouns, referring to named entities in the world yet it is not possible or desirable for a lexical resource to cover all named entities that may reasonably occ...

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Distinguishing Concepts and Instances in WordNet

Many lexical databases make a distinction between concepts (synsets that represent a class of things of interest) and instances (examples of concepts). However, that information is not present in WordNet. We use empirical evidence that concepts and instances are treated in different ways in language, to show that the distinction is not merely theoretical, but that it also affects how a word is ...

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Supersense Tagging of Unknown Nouns in WordNet

We present a new framework for classifying common nouns that extends namedentity classification. We used a fixed set of 26 semantic labels, which we called supersenses. These are the labels used by lexicographers developing WordNet. This framework has a number of practical advantages. We show how information contained in the dictionary can be used as additional training data that improves accur...

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ژورنال

عنوان ژورنال: Computational Linguistics

سال: 2006

ISSN: 0891-2017,1530-9312

DOI: 10.1162/coli.2006.32.1.1