Hideyuki Shibuki

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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 from(More)
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 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 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)
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)
This paper reports on our approach to the NTCIR-11 QALab task of answering questions from Japanese National Center Examinations for University Admissions. Our approach aims at identifying and comparing periods of world history in both the questions and the answer candidates. We created and applied a date identification method, which checks for temporal(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)
Many applications based on sentiment analysis on social media, such as Twitter, have been developed by researchers. Recently, during the Unites States presidential election of 2016, politicians, including president-elect Donald J. Trump, have been using Twitter as a mean of communicating with the public, drawing tremendous attention to Twitter. It is known(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)