Abstract
For natural language understanding, it is essential to reveal semantic relations between. words. To date, only the IS-A relation has been publicly available as a thesaurus. Toward deeper natural language understanding, we semi-automatically constructed the domain dictionary that represents the domain relation between Japanese fundamental words. Our method does not require a document collection. As a task-based evaluation of the domain dictionary, we performed blog categorization, where we assigned a domain for each word in a blog article and categorize it as the most dominant domain. In so doing, we dynamically estimated the domains of unknown words, i.e., those not listed in the domain dictionary. As a result, our blog categorization achieved the accuracy of 94.0% (564/600). Also, the domain estimation technique for unknown words achieved the accuracy of 76.6% (383/500).
