An Exploration of Learning to Link with Wikipedia: Features, Methods and Training Collection
Authors | Jiyin He Maarten De Rijk |
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Publication date | 2009 |
DOI | 10.1007/978-3-642-14556-8_32 |
Links | Original |
An Exploration of Learning to Link with Wikipedia: Features, Methods and Training Collection - scientific work related to Wikipedia quality published in 2009, written by Jiyin He and Maarten De Rijk.
Overview
Authors describe participation in the Link-the-Wiki track at INEX 2009. Authors apply machine learning methods to the anchor-to-best-entry-point task and explore the impact of the following aspects of approaches: features, learning methods as well as the collection used for training the models. Authors find that a learning to rank-based approach and a binary classification approach do not differ a lot. The new Wikipedia collection which is of larger size and which has more links than the collection previously used, provides better training material for learning models. In addition, a heuristic run which combines the two intuitively most useful features outperforms machine learning based runs, which suggests that a further analysis and selection of features is necessary.