Reranking using Supervised Learning in a Question Answering System
Christian Frid · 2014
This work will present the result and findings of the project in Language Technology that were conducted by the authors of this paper. The project consisted of the implementation of a Question Answering System for Swedish using the Swedish version of Wikipedia as the knowledgebase. The system reranks results from a traditional passage retrieval of the top nouns using supervised learning. Testing of the system showed 69% of the questions could be answered with reranking improving the average correct answer’s rank noticeably. Improving the median from 43 to 34.