Ignoring context in such texts, however, results in knowledge bases that are not only very incomplete, but also dramatically different from knowledge bases created by humans, based on the same texts. We invite papers from researchers active in the fields of natural language processing, knowledge representation, and other related areas addressing theoretical aspects of context and their implications for designing practical NLP systems. We are interested in reports on implemented NLP systems utilizing contextual information. We are also interested in knowledge representation systems, inference methods, and algorithms that would allow one to computationally handle specific aspects of context. The papers will only be available to the workshop participants.
Electronic submissions are strongly preferred.
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