A Text-based Approach For Link Prediction on Wikipedia Articles
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Abstract (arXiv)
This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags) features extracted from text to train the classification model for predicting whether two nodes has the link. Then, we use these tags to test on various machine learning models. We obtained the results by F1 score at 0.99999 and got 7th place in the competition. Our source code is publicly available at this link: https://github.com/Tam1032/DSAA2023-Challenge-Link-prediction-DS-UIT_SAT
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References · 4
- 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
- 2016node2vec: Scalable Feature Learning for Networkscited by 1,918
- 2014DeepWalk: Online Learning of Social Representationscited by 1,547
- 2020Improving Relation Extraction by Leveraging Knowledge Graph Link Predictioncited by 3
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