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Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

L. Ein-Dor, A. Halfon, Y. Kantor, R. Levy, Y. Mass, R. Rinott, E. Shnarch, and N. Slonim. LREC, European Language Resources Association (ELRA), (2018)

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Utilizing assigned treatments as labels for supervised machine learning in clinical decision support.R. Rinott, B. Carmeli, C. Kent, Y. Maman, Y. Rubin, and N. Slonim. IHI, page 493-502. ACM, (2012)TR9856: A Multi-word Term Relatedness Benchmark.R. Levy, L. Ein-Dor, S. Hummel, R. Rinott, and N. Slonim. ACL (2), page 419-424. The Association for Computer Linguistics, (2015)A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.E. Aharoni, A. Polnarov, T. Lavee, D. Hershcovich, R. Levy, R. Rinott, D. Gutfreund, and N. Slonim. ArgMining@ACL, page 64-68. The Association for Computer Linguistics, (2014)Prognostic Data-Driven Clinical Decision Support - Formulation and Implications.R. Rinott, B. Carmeli, C. Kent, D. Landau, Y. Maman, Y. Rubin, and N. Slonim. MIE, volume 169 of Studies in Health Technology and Informatics, page 140-144. IOS Press, (2011)Modularity and directionality in genetic interaction maps.A. Jaimovich, R. Rinott, M. Schuldiner, H. Margalit, and N. Friedman. Bioinformatics ISMB, 26 (12): 228-236 (2010)Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.N. Slonim, E. Aharoni, C. Alzate, R. Bar-Haim, Y. Bilu, L. Dankin, I. Eiron, D. Hershcovich, S. Hummel, M. Khapra and 10 other author(s). COLING (Demos), page 6-9. ACL, (2014)XNLI: Evaluating Cross-lingual Sentence Representations.A. Conneau, R. Rinott, G. Lample, A. Williams, S. Bowman, H. Schwenk, and V. Stoyanov. EMNLP, page 2475-2485. Association for Computational Linguistics, (2018)Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.R. Rinott, L. Dankin, C. Perez, M. Khapra, E. Aharoni, and N. Slonim. EMNLP, page 440-450. The Association for Computational Linguistics, (2015)Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.L. Ein-Dor, A. Halfon, Y. Kantor, R. Levy, Y. Mass, R. Rinott, E. Shnarch, and N. Slonim. LREC, European Language Resources Association (ELRA), (2018)

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Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

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Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.