TTOKU Summarization Based Systems at NTCIR-9 1CLICK task

We describe our two query-oriented summarization systems implemented for the NTCIR-9 1CLICK task. We regard a Question Answering problem as a summarization process. Both of the systems are based on the integer linear programming technique, and consist of an abstractive summarization model and a model ensuring to cover diversified aspects for answering user’s complex question. The first system adopts QSBP (Query SnowBall with word pair) for query oriented summarization, and extends the method to abstractive summarization in order to recognize and extract the parts of a sentence that are related to the query. On the other hand, The second system ensures covering pre-defined several aspects of information needed by users. We decided the types of aspects depending on the category of a query. Our first and second systems achieved 0.1585 and 0.1484 S-measure(I) score respectively in the desktop task. Furthermore, our first and second systems achieved 0.0866 and 0.0829 S-measure(I) score respectively in the mobile task.