There are many accurate methods for language identification of long text samples, but identification of very short strings still presents a challenge. This paper studies a languag...
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
XML information retrieval (XML-IR) systems utilize the logical structure of XML documents for retrieving relevant elements. From a practical point of view, displaying the search r...
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...