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This paper presents an overview of the ACLIA (Advanced Cross-Lingual Information Access) task cluster. The task overview includes: a definition of and motivation for the evaluation; a description of the complex question types evaluated; the document sources and exchange formats selected and/or defined; the official metrics used in evaluating participant(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)
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)
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 reported the evaluation results of our CCLQA system at NTCIR-7 ACLIA. We participated in the English-Japanese (EN-JA) cross-lingual task and the Japanese mono-lingual task. The system consists of a question translation module and a non-factoid-type Japanese question-answering system. The question translation module was developed for(More)
In order to process non-factoid questions in NTCIR-6 QAC, we introduced two types of approaches. First one has a monolithic architecture that retrieves answer passages related to a question using lexical chain. The other one has a type-by-type architecture and consists of four subsystems: i) the subsystem for definitional and other-type questions, ii) the(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)