publication . Preprint . 2018

Learning Graph Embeddings from WordNet-based Similarity Measures

Kutuzov, Andrey; Dorgham, Mohammad; Oliynyk, Oleksiy; Biemann, Chris; Panchenko, Alexander;
Open Access English
  • Published: 16 Aug 2018
Abstract
Comment: Accepted to StarSem 2019
Subjects
free text keywords: Computer Science - Computation and Language
Related Organizations
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20 references, page 1 of 2

Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.

Alexander Budanitsky and Graeme Hirst. 2006. Evaluating WordNet-based measures of lexical semantic relatedness. Computational Linguistics, 32(1).

Shaosheng Cao, Wei Lu, and Qiongkai Xu. 2015. Grarep: Learning graph representations with global structural information. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pages 891-900. ACM.

Franc¸ois Chollet et al. 2015. keras.io.

Francois Fouss, Alain Pirotte, Jean-Michel Renders, and Marco Saerens. 2007. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Transactions on knowledge and data engineering, 19(3):355-369.

Aditya Grover and Jure Leskovec. 2016. Node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, pages 855-864. ACM.

William L Hamilton, Rex Ying, and Jure Leskovec. 2017. Representation learning on graphs: Methods and applications. IEEE Data Engineering Bulletin, September 2017.

Felix Hill, Roi Reichart, and Anna Korhonen. 2015. SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Computational Linguistics, 41(4):665-695.

Jay J. Jiang and David W. Conrath. 1997. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings of the 10th Research on Computational Linguistics International Conference, pages 19-33. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).

Diederik P. Kingma and Jimmy Ba. 2014. A method for stochastic optimization. abs/1412.6980.

Henry Kucera and W Nelson Francis. 1982. Frequency analysis of English usage: Lexicon and grammar. Boston: Houghton Mifflin.

Claudia Leacock and Martin Chodorow. 1998. Combining local context and WordNet similarity for word sense identification. WordNet: An electronic lexical database, 49(2):265-283.

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems 26, pages 3111-3119.

George A. Miller. 1995. WordNet: A lexical database for English. Communications of the ACM, 38(11):39-41.

Roberto Navigli. 2009. Word sense disambiguation: A survey. ACM Computing Surveys (CSUR), 41(2):10.

20 references, page 1 of 2
Abstract
Comment: Accepted to StarSem 2019
Subjects
free text keywords: Computer Science - Computation and Language
Related Organizations
Download from
20 references, page 1 of 2

Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.

Alexander Budanitsky and Graeme Hirst. 2006. Evaluating WordNet-based measures of lexical semantic relatedness. Computational Linguistics, 32(1).

Shaosheng Cao, Wei Lu, and Qiongkai Xu. 2015. Grarep: Learning graph representations with global structural information. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pages 891-900. ACM.

Franc¸ois Chollet et al. 2015. keras.io.

Francois Fouss, Alain Pirotte, Jean-Michel Renders, and Marco Saerens. 2007. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Transactions on knowledge and data engineering, 19(3):355-369.

Aditya Grover and Jure Leskovec. 2016. Node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, pages 855-864. ACM.

William L Hamilton, Rex Ying, and Jure Leskovec. 2017. Representation learning on graphs: Methods and applications. IEEE Data Engineering Bulletin, September 2017.

Felix Hill, Roi Reichart, and Anna Korhonen. 2015. SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Computational Linguistics, 41(4):665-695.

Jay J. Jiang and David W. Conrath. 1997. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings of the 10th Research on Computational Linguistics International Conference, pages 19-33. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).

Diederik P. Kingma and Jimmy Ba. 2014. A method for stochastic optimization. abs/1412.6980.

Henry Kucera and W Nelson Francis. 1982. Frequency analysis of English usage: Lexicon and grammar. Boston: Houghton Mifflin.

Claudia Leacock and Martin Chodorow. 1998. Combining local context and WordNet similarity for word sense identification. WordNet: An electronic lexical database, 49(2):265-283.

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems 26, pages 3111-3119.

George A. Miller. 1995. WordNet: A lexical database for English. Communications of the ACM, 38(11):39-41.

Roberto Navigli. 2009. Word sense disambiguation: A survey. ACM Computing Surveys (CSUR), 41(2):10.

20 references, page 1 of 2
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