Towards Detection of Influential Sentences Affecting Reputation in Wikipedia

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Towards Detection of Influential Sentences Affecting Reputation in Wikipedia - scientific work related to Wikipedia quality published in 2016, written by Yiwei Zhou and Alexandra I. Cristea.

Overview

Wikipedia has become the most frequently viewed online encyclopaedia website. Some sentences in Wikipedia articles have direct and obvious impact on people's opinions towards the mentioned named entities. This paper defines and tackles the problem of reputation-influential sentence detection in Wikipedia articles from various domains. Authors leverage multiple lexicons, to generate domain independent features . Authors generate topical features and word embedding features from unlabelled dataset, to boost the classification performance. Authors conduct several experiments, to prove the effectiveness of these features. Authors further adapt a two-step binary classification method , to perform multi-classification. Authors evaluation results show that this method outperforms the state-of-the-art one-vs-one multi-classification method for this problem.