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This paper presents a method of acquiring IsA assertions (hyponymy relations), AtLocation assertions (informing of location of objects) and Located Near assertions (informing of neigh boring locations) automatically from Japanese Wikipedia XML dump files. To extract IsA assertions, we use the Hyponymy extraction tool v1.0, which analyses definition, category and hierarchy structures of Wikipedia articles...
This paper analyzes patterns of conceptualizations possessed by different groups of subjects. The eventual goal of this work is to dynamically learn and structure semantic representations for groups of people sharing domain knowledge. In this paper, we conduct a survey for collecting data representing semantic representations of 34 subjects with different profiles in gender and educational background...
In this paper we introduce an algorithm for affective reasoning based on Bent ham's Felific Calculus known also as the hedonic calculus. Knowledge recquired for the task is retrived from a blog corpus by means of sentiment analysis on sentences containing an action or state input. This approach allows a machine to gather information on how usually other people feel when something happens, why people...
This paper describes a system for searching the Web-based Japanese TV program guide. The system features using morphological parsing and part-of-speech analysis to locate words with nominal and attributive semantic features in the query. Such words are matched mandatorily when searching the TV program guide text, while other words are matched optionally. Moreover, certain words and morphemes are removed...
Information disclosed to the public by patients is very important for people who are suffering from same illness because such information can be a source of knowledge and encouragement. Our aim is to make a system that extracts, organizes and visually represents information from patients' blogs. As the first step, the purpose of this paper is to extract descriptions of the effects caused by taking...
The existence of social media has made computer-mediated communication more widespread among users around the world. This paper describes the development of an emoticon recommendation system that allows users to express their feelings with their input. In order to develop this system, an innovative emoticon database consisting of a table of emoticons with points expressed from each of 10 distinctive...
In this paper we describe a phonetic classification of Japanese puns (dajare). Basing on real life examples gathered from available sources (books, Internet), we divided Japanese puns into 12 groups with numerous subgroups, according to phonetic changes that occur within them. This classification was prepared for the NLP purpose, i.e. to be used in humor processing. Its usefulness was shown in a research...
This paper presents CAO, a system for affect analysis of emoticons in Japanese online communication. Emoticons are strings of symbols widely used in text-based online communication to convey user emotions. The presented system extracts emoticons from input and determines the specific emotion types they express with a three-step procedure. First, it matches the extracted emoticons to a predetermined...
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