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Advancing Natural Language Understanding with Collaboratively Generated Content--Evgeniy Gabrilovich
Pages 55-60

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From page 55...
... REPOSITORIES OF COLLABORATIVELY GENERATED CONTENT AS AN ENABLING RESOURCE The unprecedented amounts of information in CGC enable new, knowledgerich approaches to natural language processing, which are significantly more powerful than the conventional word-based methods. Considerable progress has 55
From page 56...
... They can also be used to extend existing knowledge repositories, increasing the concept coverage and adding usage examples for pre viously listed concepts. Some CGC repositories, such as Wikipedia, record each and every change to their content, thus making the document authoring process directly observable.
From page 57...
... Furthermore, the relationship between those related keywords may be semantic rather than syntactic, and capturing it thus requires access to comprehensive human world knowledge. Previous approaches have attempted to tackle these difficulties by using manually built thesauri, by relying on term co-occurrence data, or by extracting latent word relationships and concepts from a corpus.
From page 58...
... In this paper, we showed that the structure and content of these repositories can be used to augment repre sentation of natural language texts with information that cannot be deduced from the input text alone. Using knowledge from CGC repositories leads to double-digit accuracy improvements in a range of tasks, from computing semantic relatedness of words and texts to information retrieval and text classification.
From page 59...
... Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Com putational Natural Language Learning, Prague, Czech Republic, June 28–30, 2007. Deerwester, S., S


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