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Using semantic techniques, we determined a probabilistic score indicating whether news stories were more optimistic (or solutions-oriented), versus their being more pessimistic (or threnodic). We observed over the length of our study that some news outlets, which were comparable in their topical coverage, quantity of output, and geographical focus, differed vastly in their level of optimistic or solutions-oriented...
Important term extraction from the current web page is a common process in many client-based web applications such as query-free search, search query recommendation, information extraction, user profiling, and personalization. However, the tuning cost is large for deciding parameters when updating modules or dictionaries, or when porting an application for other languages or devices. We propose an...
We present work on using a domain model to guide text interpretation, in the context of a project that aims to interpret English questions as a sequence of queries to be answered from structured databases. We adapt a broad-coverage and ambiguity-enabled natural language processing (NLP) system to produce domain-specific logical forms, using knowledge of the domain to zero in on the appropriate interpretation...
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