Junta Mizuno

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This paper describes an overview of RITE-2 (Recognizing Inference in TExt) task in NTCIR-10. We evaluated systems that automatically recognize semantic relations between sentences such as paraphrase, entailment, contradiction in Japanese, Simplified Chinese and Traditional Chinese. The tasks in RITE-2 are Binary Classification of entailment (BC Subtask),(More)
In this paper, we investigate the answer type detection methods for realizing the Universal Question Answering (UQA), which returns an answer for any given question. For this purpose, the questions collected from a WWW question portal community site were analyzed to see how many kinds of questions were submitted in the real world. Then, we introduce the(More)
Recognizing semantic relations between sentences, such as entailment and contradiction, is a challenging task that requires detailed analysis of the interaction between diverse linguistic phenomena. In this paper, we propose a latent discriminative model that unifies a statistical framework and a theory of Natural Logic to capture complex interactions(More)
Immediately after the 2011 Great East Japan Earthquake, the Internet was flooded by a huge amount of information concerning the damage and problems caused by the earthquake, the tsunami, and the nuclear disaster. Many reports about aid efforts and advice to victims were also transmitted into cyberspace. However, since most people were overwhelmed by the(More)
In the Recognizing Textual Entailment (RTE) task, sentence pairs are classified into one of three semantic relations: ENTAILMENT, CONTRADICTION or UNKNOWN. While we find some sentence pairs hold full entailments or contradictions, there are a number of pairs that partially entail or contradict one another depending on a specific situation. These partial(More)
Event factuality is information about whether events mentioned in natural language correspond to either actual events that have occurred in the real world or events that are of uncertain interpretation. Factuality analysis is useful for information extraction and textual entailment recognition, among others, but sufficient performance has not yet been(More)
Since the problem of textual entailment recognition requires capturing semantic relations between diverse expressions of language, linguistic and world knowledge play an important role. In this article, we explore the effectiveness of different types of currently available resources including synonyms, antonyms, hypernym-hyponym relations, and lexical(More)
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes it difficult to find credible sources of information. As people come to rely on the Internet for more and more information, reducing this credibility noise grows ever more urgent.(More)
This study introduces the integrated service digital network (ISDN)-based international teleradiotherapy system (THERAPIS) in radiation oncology between hospitals in Seoul, South Korea and in Sapporo, Japan. THERAPIS has the following functions: (1) exchange of patient's image data, (2) real-time teleconference, and (3) communication of the treatment(More)