Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference59 articles.
1. Affenzeller, M., Winkler, S.M., Kronberger, G., Kommenda, M., Burlacu, B., & Wagner, S. (2013). Gaining deeper insights in symbolic regression. In Genetic programming theory and practice XI [GPTP 2013, University of Michigan, Ann Arbor, USA, May 9–11, 2013] (pp. 175–190).
2. Afzal, N., Wang, Y., & Liu, H. (2016). Mayonlp at semeval-2016 task 1: Semantic textual similarity based on lexical semantic net and deep learning semantic model. In Proceedings of the 10th international workshop on semantic evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16–17, 2016 (pp. 674–679).
3. Albitar, S., Fournier, S., & Espinasse, B. (2014). An effective tf/idf-based text-to-text semantic similarity measure for text classification. In Web information systems engineering – WISE 2014–15th international conference, Thessaloniki, Greece, October 12–14, 2014, Proceedings, Part I (pp. 105–114).
4. LWCR: multi-layered wikipedia representation for computing word relatedness;Aouicha;Neurocomputing,2016
5. An evaluative baseline for geo-semantic relatedness and similarity;Ballatore;GeoInformatica,2014
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献