doi:10.1017/S0269888917000029

Agirre E., Alfonseca E., Hall K., Kravalova J., Paşca M. & Soroa A.2009. A study on similarity and relatedness using distributional and WordNet-based approaches. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 19–27. Association for Computational Linguistics.

Banerjee S. & Pedersen T.2002. An adapted Lesk algorithm for word sense disambiguation using WordNet. In Proceedings of the 3rd International Conference on Computational Linguistics and Intelligent Text Processing (CICLing ’02), Gelbukh, A. F. (ed.). Springer-Verlag, 136–145.

Bicici M. E.2015. RTM-DCU: predicting semantic similarity with referential translation machines. In SemEval-2015: Semantic Evaluation Exercises – International Workshop on Semantic Evaluation. http://doras.dcu.ie/20650/.

Bollegala D., Matsuo Y. & Ishizuka M.2006. Disambiguating personal names on the web using automatically extracted key phrases. In Proceedings of the 17th European Conference on Artificial Intelligence, 553–557. IOS Press.

Bollegala D., Matsuo Y. & Ishizuka M.2007. Measuring semantic similarity between words using web search engines. In Proceedings of the 16th International Conference on World Wide Web (WWW ’07), 757–766. ACM.

Bu F., Hao Y. & Zhu X.2011. Semantic relationship discovery with Wikipedia structure. InProceedings of the 22nd International Joint Conference on Artificial Intelligence – Vol. 3 (IJCAI ’11), Walsh, T. (ed.). AAAI Press, 1770–1775.

Budan I. A. & Graeme H.2006. Evaluating WordNet-based measures of semantic distance. Computational Linguistics32(1),13–47.

Budanitsky A. & Hirst G.2006. Evaluating Wordnet-based measures of lexical semantic relatedness. Computational Linguistics32(1),13–47.

Chen H. H., Lin M. S. & Wei Y. C.2006. Novel association measures using web search with double checking. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics, 1009–1016. Association for Computational Linguistics.

Chen P., Ding W., Bowes C. & Brown D.2009. A fully unsupervised word sense disambiguation method using dependency knowledge. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL ’09), 28–36. Association for Computational Linguistics.

Cilibrasi R. L. & Vitanyi P.2007. The Google similarity distance. IEEE Transactions on Knowledge and Data Engineering19(3),370–383.

Duan J. & Zeng J.2012. Computing semantic relatedness based on search result analysis. In Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology – Vol. 3, 205–209. IEEE Computer Society.

Euzenat J. & Shvaiko P.2013. Ontology Matching, 2nd edition.Springer-Verlag.

Feng Y., Fani H., Bagheri E. & Jovanovic J.2015. Lexical semantic relatedness for Twitter analytics. InIEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI 2015), 202–209. IEEE.

Ferrara F. & Tasso C.2013. Evaluating the results of methods for computing semantic relatedness. In Proceedings of the 14th International Conference on Computational Linguistics and Intelligent Text Processing – Part I (CICLing ’13), 447–458. Springer-Verlag.

Finkelstein L., Gabrilovich E., Matias Y., Rivlin E., Solan Z., Wolfman G. & Ruppin E.2002. Placing search in context: the concept revisited. ACM Transactions on Information Systems20(1),116–131.

Gabrilovich E. & Markovitch S.2007. Computing semantic relatedness using Wikipedia-based Explicit Semantic Analysis. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI ’07), Sangal, R., Mehta, H. & Bagga, R. K. (eds). Morgan Kaufmann Publishers Inc., 1606–1611.

Gracia J. & Mena E.2008. Web-based measure of semantic relatedness. InProceedings of the 9th International Conference on Web Information Systems Engineering (WISE ’08), Bailey, J., Maier, D., Schewe, K. D., Thalheim, B. & Wang, X. S. (eds). Springer-Verlag, 136–150.

Graham M., Milanowski A. & Miller J.2012. Measuring and promoting inter-rater agreement of teacher and principal performance ratings. Center for Educator Compensation Reform. http://files.eric.ed.gov/fulltext/ED532068.pdf.

Gruninger M. & Kopena J. B.2005. Semantic integration through invariants. AI Magazine26(1),11–20.

Gurevych I.2005. Using the structure of a conceptual network in computing semantic relatedness. In Proceedings of the 2nd International Joint Conference on Natural Language Processing (IJCNLP ’05), Dale, R., Wong, K. F., Su, J. & Kwong, O. Y. (eds). Springer-Verlag, 767–778.

Gurevych I.2006. Computing semantic relatedness across parts of speech. Technical report, Department of Computer Science, Telecooperation, Darmstadt University of Technology.

Gurevych I. & Niederlich H.2005. Computing semantic relatedness of GermaNet concepts. InSprachtechnologie, mobile Kommunikation und linguistische Ressourcen: Proceedings of the Workshop on Applications of GermaNet II at GLDV2005, 462–474.

Hecht B., Carton S. H., Quaderi M., Schöning J., Raubal M., Gergle D. & Downey D.2012. Explanatory semantic relatedness and explicit spatialization for exploratory search. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’12), 415–424. ACM.

Hughes T. & Ramage D.2007. Lexical semantic relatedness with random graph walks. InEmpirical Methods on Natural Language Processing and Computational Natural Language Learning, 581–589.

Jarmasz M. & Szpakowicz S.2012a. Roget’s thesaurus and semantic similarity.arXiv preprint arXiv:1204.0245.

Jarmasz M. & Szpakowicz S.2012b. Roget’s thesaurus: a lexical resource to treasure.arXiv preprint arXiv:1204.0258.

Jiang J. J. & Conrath D. W.1997. Semantic similarity based on corpus statistics and lexical taxonomy. arXiv preprint cmp-lg/9709008.

Karanastasi A. & Christodoulakis S.2007. The OntoNL semantic relatedness measure for OWL ontologies. In Proceedings of the 2nd International Conference on Digital Information Management, ICDIM ’07, 333–338. IEEE Computer Society.

Krizhanovsky A. A. & Lin F.2009. Related terms search based on WordNet/Wiktionary and its application in ontology matching. arXiv preprint arXiv:0907.2209.

Leacock C. & Chodorow M.1998. Combining local context and WordNet similarity for word sense identification. WordNet: An Electronic Lexical Database49(2),265–283.

Leong C. W. & Mihalcea R.2011. Measuring the semantic relatedness between words and images. In Proceedings of the 9th International Conference on Computational Semantics, 185–194. Association for Computational Linguistics.

Lesk M.1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In Proceedings of the 5th Annual International Conference on Systems Documentation (SIGDOC ’86), DeBuys, V. (ed.). ACM, 24–26.

Li Y., Bandar Z. A. & McLean D.2003. An approach for measuring semantic similarity between words using multiple information sources.IEEE Transactions on Knowledge and Data Engineering15(4),871–882.

Matsuo Y., Mori J., Hamasaki M., Ishida K., Nishimura T., Takeda H., Hasida K. & Ishizuka M.2007. Polyphonet: an advanced social network extraction system. Web Semantics: Science, Services and Agents on the World Wide Web5(4),262–278.

Meyer C. M. & Gurevych I.2012. To exhibit is not to loiter: a multilingual, sense-disambiguated Wiktionary for measuring verb similarity. InProceedings of the 24th International Conference on Computational Linguistics (COLING), 1763–1780.

Mihalcea R. & Moldovan D. I.1999. A method for word sense disambiguation of unrestricted text. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics (ACL ’99), 152–158. Association for Computational Linguistics.

Mika P.2007. Ontologies are us: a unified model of social networks and semantics. Web Semantics: Science, Services and Agents on the World Wide Web5(1),5–15.

Mikolov T., Sutskever I., Chen K., Corrado G. S. & Dean J.2013a. Distributed representations of words and phrases and their compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS ’13), 3111–3119. Curran Associates Inc.

Mikolov T., Yih W. T. & Zweig G.2013b. Linguistic regularities in continuous space word representations. In Proceedings of Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 746–751. The Association for Computational Linguistics.

Milikic N., Jovanovic J. & Stankovic M.2011. Discovering the dynamics of terms’ semantic relatedness through Twitter. In Proceedings of the ESWC2011 Workshop on ‘Making Sense of Microposts’: Big Things Come in Small Packages, 57–68.

Miller G. A. & Charles W. G.1991. Contextual correlates of semantic similarity. Language and Cognitive Processes6(1),1–28.

Milne D.2007. Computing semantic relatedness using Wikipedia link structure. In Proceedings of the New Zealand Computer Science Research Student Conference.http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3604.

Mori J., Ishizuka M. & Matsuo Y.2007. Extracting keyphrases to represent relations in social networks from web. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI ’07), 2820–2825. Morgan Kaufmann Publishers Inc.

Otero-Cerdeira L., Rodríguez-Martínez F. J. & Gómez-Rodríguez A.2015. Ontology matching.Expert Systems With Applications42(2),949–971.

Patwardhan S. & Pedersen T.2006. Using WordNet-based context vectors to estimate the semantic relatedness of concepts. In Proceedings of the EACL 2006 Workshop Making Sense of Sense – Bringing Computational Linguistics and Psycholinguistics Together, 1501, 1–8.

Pedersen T.2012. Duluth: measuring degrees of relational similarity with the gloss vector measure of semantic relatedness. In Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval ’12), 497–501. Association for Computational Linguistics.

Pedersen T., Pakhomov S. V., Patwardhan S. & Chute C. G.2007. Measures of semantic similarity and relatedness in the biomedical domain. Journal of Biomedical Informatics40(3),288–299.

Pirró G.2012. REWOrD: semantic relatedness in the web of data. InProceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI ’12), 129–135. AAAI Press.

Polčicová G. & Návrat P.2002. Semantic similarity in content-based filtering. InProceedings of the 6th East European Conference on Advances in Databases and Information Systems (ADBIS ’02), Manolopoulos, Y. & Návrat, P. (eds). Springer-Verlag, 80–85.

Rada R., Mili H., Bicknell E. & Blettner M.1989. Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man and Cybernetics19(1),17–30.

Radinsky K., Agichtein E., Gabrilovich E. & Markovitch S.2011. A word at a time: computing word relatedness using Temporal Semantic Analysis. In Proceedings of the 20th International Conference on World Wide Web (WWW ’11), 337–346. ACM.

Resnik P.1995. Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the 14th International Joint Conference on Artificial Intelligence – Vol. 1 (IJCAI ’95), Mellish, C. S. (ed.). Morgan Kaufmann Publishers Inc., 448–453.

Resnik P.1999. Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research11,95–130.

Rubenstein H. & Goodenough J. B.1965. Contextual correlates of synonymy. Communications of the ACM8(10),627–633.

Sabou M., Gracia J., Angeletou S., d’Aquin M. & Motta E.2007. Evaluating the semantic web: a task-based approach. InProceedings of the 6th International Semantic Web Conference, ISWC 2007, 423–437. Springer-Verlag.

Sahami M. & Heilman T. D.2006. A web-based kernel function for measuring the similarity of short text snippets. In Proceedings of the 15th International Conference on World Wide Web (WWW ’06), 377–386. ACM.

Schütze H.1998. Automatic word sense discrimination. Computational Linguistics24(1),97–123.

Seco N., Veale T. & Hayes J.2004. An intrinsic information content metric for semantic similarity in WordNet. In Proceedings of the 16th European Conference on Artificial Intelligence, ECAI ’2004, 1089–1090.

Spanakis G., Siolas G. & Stafylopatis A.2009. A hybrid web-based measure for computing semantic relatedness between words. In Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI ’09), 441–448. IEEE Computer Society.

Strube M. & Ponzetto S. P.2006. WikiRelate! Computing semantic relatedness using Wikipedia. In Proceedings of the 21st National Conference on Artificial Intelligence – Vol. 2 (AAAI ’06), Cohn, A. (ed.). AAAI Press, 1419–1424.

Taieb M. A. H., Aouicha M. B. & Hamadou A. B.2013. Computing semantic relatedness using Wikipedia features. Knowledge-Based Systems50,260–278.

Turdakov D. & Velikhov P.2008. Semantic relatedness metric for Wikipedia concepts based on link analysis and its application to word sense disambiguation. InProceedings of the SYRCODIS 2008 Colloquium on Databases and Information Systems.http://ceur-ws.org/Vol-355/turdakov.pdf.

Turney P.2006. Expressing implicit semantic relations without supervision. In Proceedings of the 21st International Committee on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL 2006), 313–320. Association for Computational Linguistics.

Turney P. D. & Pantel P.2010. From frequency to meaning: vector space models of semantics. Journal of Artificial Intelligence Research37(1),141–188.

Vélez B., Weiss R., Sheldon M. A. & Gifford D. K.1997. Fast and effective query refinement. In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’97), 6–15. ACM.

Wan S. & Angryk R.2007. Measuring semantic similarity using Wordnet-based context vectors. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC, 908–913. IEEE Computer Society.

Weng J. & Lee B. S.2011. Event detection in Twitter. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, ICWSM 2011, 401–408. Association for the Advancement of Artificial Intelligence.

Witten I. & Milne D.2008. An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy, 25–30. AAAI Press.

Wu H., Min M. R. & Bai B.2014. Deep semantic embedding. In Proceedings of Workshop on Semantic Matching in Information Retrieval Co-Located with the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 46–52.

Wu Z. & Palmer M.1994. Verbs semantics and lexical selection. In Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics (ACL ’94), 133–138. Association for Computational Linguistics.

Yang D. & Powers D. M.2006. Verb similarity on the taxonomy of WordNet. InProceedings of the 3rd International WordNet Conference (GWC-06).

Yeh E., Ramage D., Manning C. D., Agirre E. & Soroa A.2009. WikiWalk: random walks on Wikipedia for semantic relatedness. In Proceedings of the 2009 Workshop on Graph-Based Methods for Natural Language Processing, 41–49. Association for Computational Linguistics.

Zarrinkalam F., Fani H., Bagheri E. & Kahani M.2016. Inferring implicit topical interests on Twitter. InProceedings of the 38th European Conference on IR Research, ECIR 2016, 479–491. Springer International Publishing.

Zesch T.2010. Study of semantic relatedness of words using collaboratively constructed semantic resources. PhD thesis, Technische Universität.

Zesch T. & Gurevych I.2006. Automatically creating datasets for measures of semantic relatedness. In Proceedings of the Workshop on Linguistic Distances (LD ‘06), 16–24. Association for Computational Linguistics.

Zesch T. & Gurevych I.2010. The more the better? Assessing the influence of Wikipedia’s growth on semantic relatedness measures. InProceedings of the Conference on Language Resources and Evaluation (LREC ’10).

Zesch T., Gurevych I. & Mühlhäuser M.2007. Comparing Wikipedia and German Wordnet by evaluating semantic relatedness on multiple datasets. In Proceedings of Human Language Technologies 2007: Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers, 205–208. Association for Computational Linguistics.

Zesch T., Müller C. & Gurevych I.2008. Using Wiktionary for computing semantic relatedness. InProceedings of the 23rd National Conference on Artificial Intelligence – Volume 2 (AAAI ’08), Cohn, A. (ed.). AAAI Press, 861–866.

Zhao Q., Hoi S. C., Liu T. Y., Bhowmick S. S., Lyu M. R. & Ma W. Y.2006. Time-dependent semantic similarity measure of queries using historical click-through data. In Proceedings of the 15th International Conference on World Wide Web, 543–552. ACM.

Zhou W., Wang H., Chao J., Zhang W. & Yu Y.2012. LODDO: using linked open data description overlap to measure semantic relatedness between named entities. In Proceedings of the 2011 Joint International Conference on The Semantic Web (JIST ’11), Pan, J. Z., Chen, H., Kim, H. G., Li, J. & Wu, Z. (eds). Springer-Verlag, 268–283.