Pum Mo Ryu

TL;DR: The use of Wikipedia as a rich knowledge source for a question answering (QA) system based on different types of semi-structured knowledge sources, including article content, infoboxes, article structure, category structure, and definitions is described.

TL;DR: The goal of this paper is to assign taxonomic relations among technical terms by analyzing various features used in previous researches in view of term specificity and similarity, and applying optimal features for term Specificity and similarity to the proposed method.

TL;DR: In this paper, a method and an apparatus for mobile intelligent advertizing service based on mobile user contextual matching is presented, which includes: a contextual information collecting unit collecting user contextual information under a mobile environment; a context analysing unit analyzing the collected contextual information and classifying and storing the analyzed contextual information for each category; contextual information modeling unit comparing and mapping the analysed contextual information with a previously built-up contextual information database to formalize the compared and mapped contextual information, and generalizing the formalized contextual information.

TL;DR: A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the question is a query for performing information searching or a question for performing a question and answer as discussed by the authors.