Toshiba ASKMi at NTCIR-4 QAC2

ASKMi: A Japanese Question Answering System based on Semantic Role Analysis

This paper introduces a Japanese question answering system called ASKMi (Answer Seeker/Knowledge Miner). We describe its system components with an emphasis on the Question Analyzer, which performs Sematic Role Analysis for answer type recognition, query expansion and document constraint generation. Semantic Role Analysis is a rule-based, language-independent technique for mapping textual fragme...

NTT DATA Question-Answering Experiment at the NTCIR-4 QAC2

NTCIR-4 QAC Experiments at Matsushita

This paper investigates our experimental results for NTCIR-4 QAC2, the second attempt to evaluate the technology of Japanese question answering (QA). Our basic approach is a combination of information retrieval and named entity (NE) extraction based on pattern matching. The results show that the accuracy of NE extraction crucially affects the overall performance of our system. Additional experi...

Question Answering Challenge for Information Access Dialogue - Overview of NTCIR4 QAC2 Subtask

We describe an overview of Question Answering Challenge (QAC) 2 Subtask 3, a novel challenge for evaluating open-domain question answering technologies, at the NTCIR Workshop 4. In QAC2 Subtask 3, question answering systems are supposed to be used interactively to answer a series of related questions, whereas in the conventional setting, systems answer isolated questions one by one. Such an int...

An Overview of NTCIR-5 QAC3

This paper provides an overview of NTCIR-5 QAC3 (Question Answering Challenge 3). QAC is a series of challenges for evaluating question answering technologies in Japanese. QAC3 follows the same course as QAC based on the success of the previous two workshops, with its task limited to that corresponding to QAC2 Subtask 3 aiming at the convergence of research resources for novel subjects. This ta...