There are vast amounts of text data on World Wide Web and in encyclopedias and newspapers. For efficient information access to such text data, Question Answering is an option. Question Answering which this thesis uses is defined that a technique to find an answer from a large amount of text data for a given question written in natural language. Evaluation workshops for Question Answering starte...

In this paper, we described our CCLQA system and the evaluation results for the C-C task at NTCIR-8 ACLIA. The system consists of a Question Analysis module, IR module and Answer Extraction module. The Question Analysis module was developed for NTCIR-7 CCLQA, which is based on the Question pattern library and HowNet. The IR module was developed for NTCIR-8 IR4QA task, and the results of KECIR-C...

The performance of question answering system is evaluated through successive evaluations campaigns. A set of questions are given to the participating systems which are to find the correct answer in a collection of documents. The creation process of the questions may change from one evaluation to the next. This may entail an uncontroled question difficulty shift. For the QAst 2009 evaluation cam...

The TREC-8 Question Answering track was the rst large-scale evaluation of domain-independent question answering systems. This paper summarizes the results of the track by giving a brief overview of the di erent approaches taken to solve the problem. The most accurate systems found a correct response for more than 2/3 of the questions. Relatively simple bag-of-words approaches were adequate for ...

This paper gives an overview of the NTCIR-5 Cross-Lingual Question Answering Task (CLQA1), an evaluation campaign for Cross-Lingual Question Answering technology. This evaluation was carried out in June 2005. In CLQA1, we aimed to promote research on cross-lingual Question Answering technology mainly for East Asian languages. As the first attempt, we conducted evaluations of five subtasks: JE, ...