Tatsunori Mori

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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)
In QAC-4, we defined question answering task using any type of question, mainly focused on non-factoid questions. There are 8 participants and 14 runs from these participants. In the evaluation, four kinds of criterion were used for some portion of participants answer set. The evaluation results showed some of the participant systems could focus on the area(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)
In this paper, we propose a method for anaphora resolution of zero subjects in Japanese manual sentences based on both the nature of language expressions and the ontology of ordinary instruction manuals. In instruction manuals written in Japanese, zero subjects often introduce ambiguity into sentences. In order to resolve them, we consider the property of(More)
In this paper, we propose a method of CrossLanguage Information Retrieval based on an integration of a probabilistic CLIR model and Probabilistic Latent Semantic Analysis (PLSA). PLSA is adopted to extract the information of translation probability from a parallel corpus. The information is utilized in a probabilistic CLIR model. Although the probabilistic(More)
In recent years, answer-focused summarization has gained attention as a technology complementary to information retrieval and question answering. In order to realize multi-document summarization focused by multiple questions, we propose a method to calculate sentence importance using scores, for responses to multiple questions, generated by a(More)