Cite

1. Agirre, E., C. Banea, D. M. Cer, M. T. Diab, A. Gonzalez-Agirre, R. Mihalcea, G. Rigau, J. Wiebe. SemEval-2016. Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation. – In: SemEval@NAACL-HLT, 2016, pp. 497-511.10.18653/v1/S16-1081Search in Google Scholar

2. Cer, D., M. Diab, E. Agirre, I. Lopez-Gazpio, L. Specia. SemEval-2017. Task 1: Semantic Textual Similarity-Multilingual and Cross-Lingual Focused Evaluation. arXiv Preprint arXiv:1708.00055, 31 July 2017.10.18653/v1/S17-2001Search in Google Scholar

3. Euzenat, J., C. Meilicke, H. Stuckenschmidt, P. Shvaiko, C. Trojahn. Ontology Alignment Evaluation Initiative: Six Years of Experience. – Journal on Data Semantics, Vol. XV, 2011, Berlin, Heidelberg, Springer, pp. 158-192.10.1007/978-3-642-22630-4_6Search in Google Scholar

4. Fellbaum, C. WordNet. In Theory and Applications of Ontology. Computer Applications. Netherlands, Springer, 2010, pp. 231-243.10.1007/978-90-481-8847-5_10Search in Google Scholar

5. Fernando, S., M. Stevenson. Mapping WordNet Synsets to Wikipedia Articles. – In: Proc. of 8th International Conference on Language Resources and Evaluation, 2012, pp. 590-596.Search in Google Scholar

6. Finkel, J. R., T. Grenager, C. Manning. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling. – In: Proc. of 43nd Annual Meeting of the Association for Computational Linguistics (ACL’05), 2005, pp. 363-37010.3115/1219840.1219885Search in Google Scholar

7. Frank, E., M. Hall, G. Holmes, R. Kirkby, B. Pfahringer, I. H. Witten, L. Trigg. Weka-a Machine Learning Workbench for Data Mining. – In: Data Mining and Knowledge Discovery Handbook. US, Springer, 2009, pp. 1269-1277.10.1007/978-0-387-09823-4_66Search in Google Scholar

8. Gal, Y., Z. Ghahramani. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. – In: Proc. of International Conference on Machine Learning, 2016, pp. 1050-1059.Search in Google Scholar

9. Ganitkevitch, J., B. Van Durme, C. Callison-Burch. PPDB: The Paraphrase Database. – In: HLT-NAACL, 9 Jun 2013, pp. 758-764.Search in Google Scholar

10. Hurley, N., S. Rickard. Comparing Measures of Sparsity. – IEEE Transactions on Information Theory, Vol. 55, October 2009, No 10, pp. 4723-4741.10.1109/TIT.2009.2027527Search in Google Scholar

11. Jiménez-Ruiz, E., B. C. Grau, Y. Zhou. LogMap 2.0: Towards Logic-Based, Scalable and Interactive Ontology Matching. – In: Proc. of 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences, 2011, pp. 45-46.10.1145/2166896.2166911Search in Google Scholar

12. Kuhn, H. W. The Hungarian Method for the Assignment Problem. – Naval Research Logistics Quarterly, Vol. 2, 1955, pp. 83-97.10.1002/nav.3800020109Open DOISearch in Google Scholar

13. Leacock, C., M. Chodorow. Combining Local Context and Wordnet Similarity for Word Sense Identification. – An Electronic Lexical Database, 1998, pp. 265-283.Search in Google Scholar

14. Li, Y., Z. M. D. Bandar. An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. – Transactions on Knowledge and Data Engineering, Vol. 15, 2003, No 4, pp. 871-882.10.1109/TKDE.2003.1209005Search in Google Scholar

15. Lin, F, K. Sandkuhl. A Survey of Exploiting Wordnet in Ontology Matching. – Artificial Intelligence in Theory and Practice, Vol. II, 2008, pp. 341-350.10.1007/978-0-387-09695-7_33Open DOISearch in Google Scholar

16. McCrae, J. P. Mapping WordNet Instances to Wikipedia. – In: Proc. of 2018 Global WordNet Conference, 2018.Search in Google Scholar

17. Mikolov, T, W. T. Yih, G. Zweig. Linguistic Regularities in Continuous Space Word Representations. – In: HLT-NAACL, Vol. 13, 9 Jun 2013, pp. 746-751.Search in Google Scholar

18. Navigli, R, S. P. Ponzetto. BabelNet: The Automatic Construction, Evaluation and Application of a Wide-Coverage Multilingual Semantic Network. – Artificial Intelligence, Vol. 193, 1 December 2012, pp. 217-250.10.1016/j.artint.2012.07.001Search in Google Scholar

19. Nentwig, M., M. Hartung, A. C. Ngonga-Ngomo, E. Rahm. A Survey of Current Link Discovery Frameworks. – Semantic Web, Vol. 8, 1 January 2017, No 3, pp. 419-36.10.3233/SW-150210Search in Google Scholar

20. Ngonga-Ngomo, A. C., S. Auer. LIMES – A Time-Efficient Approach for Large Scale Link Discovery on the Web of Data. – In: Proc. of 22nd Joint International Conference on Artificial Intelligence, 2011, pp. 2313-2317.Search in Google Scholar

21. Niepert, M., C. Meilicke, H. Stuckenschmidt. A Probabilistic-Logical Framework for Ontology Matching. – In: Proc. of 24th AAAI Conference on Artificial Intelligence, 2010, pp. 1413-1418.10.1609/aaai.v24i1.7508Search in Google Scholar

22. Niu, X., S. Rong, H. Wang, Y. Yong. An Effective Rule Miner for Instance Matching on the Web of Data. – In: Proc. of 21st ACM International Conference on Information and Knowledge Management, 2012, pp. 1085-1094.10.1145/2396761.2398406Search in Google Scholar

23. Richardson, M., P. Domingos. Markov Logic Networks. – Machine Learning, Vol. 62, 2006, No 1-2, pp. 107-136.10.1007/s10994-006-5833-1Search in Google Scholar

24. Rychalska, B, K. Pakulska, K. Chodorowska, W. Walczak, P. Andruszkiewicz. Samsung Poland NLP Team at SemEval-2016. Task 1: Necessity for Diversity; Combining Recursive Autoencoders, WordNet and Ensemble Methods to Measure Semantic Similarity. – In SemEval@NAACL-HLT, 2016, pp. 602-608.10.18653/v1/S16-1091Search in Google Scholar

25. Sultan, M. A., S. Bethard, T. Sumner. Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence. – Transactions of the Association for Computational Linguistics, Vol. 2, 31 May 2014, pp. 219-230.10.1162/tacl_a_00178Search in Google Scholar

26. Tai, K. S., R. Socher, C. D. Manning. Improved Semantic Representations from Tree-Structured Long Short-Term Memory Networks. – arXiv Preprint arXiv:1503.00075, 28 February 2015.10.3115/v1/P15-1150Search in Google Scholar

27. Volz, J., C. Bizer, M. Gaedke, G. Kobilarov. Discovering and Maintaining Links on the Web of Data. – The Semantic Web-ISWC’09, 2009, pp. 650-665.10.1007/978-3-642-04930-9_41Search in Google Scholar

28. Wu, Z., M. Palmer. Verb Semantics and Lexical Selection. – In: 32nd Annual Meeting of the Association for Computational Linguistics, New Mexico State University, Las Cruces, New Mexico, 1994, pp. 133-138.10.3115/981732.981751Search in Google Scholar

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