A Method of Passage-Based Document Retrieval in Question Answering System
This addresses document retrieval for Korean question answering systems, but appears incremental as it builds on existing passage-based approaches.
The authors tackled the problem of document retrieval in Korean question answering systems by proposing a passage-based method that uses scoring values and term proximity, reporting it as very effective for this specific domain.
We propose a method for using the scoring values of passages to effectively retrieve documents in a Question Answering system. For this, we suggest evaluation function that considers proximity between each question terms in passage. And using this evaluation function , we extract a documents which involves scoring values in the highest collection, as a suitable document for question. The proposed method is very effective in document retrieval of Korean question answering system.