Hideyuki Shibuki

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Recently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the content, especially showing interpretation of the relation between statements appeared to contradict each other, is important for helping a user judge the credibility of information. In(More)
In this paper, we propose a method for mediatory summarization, which is a novel technique for facilitating users' assessments of the credibility of information on the Web. A mediatory summary is generated by extracting a passage from Web documents; this summary is generated on the basis of its relevance to a given query, fairness, and density of keywords,(More)
In this paper, we discuss the summarization for supporting a user's judgment on the credibility of information on the Web. In general, if a statement contradicts another statement, the credibility of either of the statements decreases. However, these opposing statements may coexist under certain situations, and presenting such situations is helpful for a(More)
This paper describes an overview of the first QA Lab (Question Answering Lab for Entrance Exam) task at NTCIR 11. The goal of the QA lab is to provide a module-based platform for advanced question answering systems and comparative evaluation for solving real-world university entrance exam questions. In this task, " world history " questions are selected(More)
We propose a graph-based ranking method for query-biased summarization in a three-layer graph model consisting of document, sentence and word-layers. The model has a representation that fuses three kinds of heterogeneous information: part-whole relationships between different linguistic units, similarity using the overlap of the Basic Elements (BEs) in the(More)
Recently, the credibility of information available on the Web has been regarded as an important issue. Sender name is one of the important indicators of the credibility of the information. In this paper, we propose a new method for extracting sender name. The proposed method use the named entity recognition method, and reducing the DOM node using Web page(More)
In this paper we investigate factors that influence trends in sentencing process basing on newspaper articles in order to find lexical clues for automatic trial verdict estimation. We examine verdicts for murder cases of the last 10 years using 149 newspaper articles (1998-2001) and 160 precedents from a database available online (2001-2007). The results(More)
This paper describes Forst's approach to university entrance examinations at NTCIR-11 QA-Lab Task. Our system consists of two types of modules: dedicated modules for each question format and common modules called by the dedicated modules as necessary. Our system uses Basic Element in order to more exactly grasp and reflect the import of questions. We also(More)
This paper develops a technique that unfolds public mood on social issues from real-time social media for sector index prediction. We first propose a low-dimensional support vector machine (SVM) classifier using surrounding information for twitter sentiment classification. Then, we generate public mood time series by aggre-gating message-level weighted(More)
created and applied a date iden-fica-on method, which checks for temporal overlaps between-me periods in ques-ons and their answer candidates. In this paper, we introduced details of this method and analyzed the test results. When tested on the World History Dic-onary that is used for preparing to the exams, our approach achieved 30% of correct answers in(More)