For a comprehensive review of the literature on IC models, we refer the reader to the surveys by Lastra-Díaz and García-Serrano [1,2] and the recent experimental survey [3].
[1] J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526.
[2] J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement
[3] J.J. Lastra-Díaz, J. Goikoetxea, M. Hadj Taieb, A. García-Serrano, M. Ben Aouicha, E. Agirre, A reproducible survey on word embeddings and ontology-based methods for word similarity: linear combinations outperform the state of the art, Engineering Applications of Artificial Intelligence. 85 (2019) 645–665.
Table below enumerates all corpus-based IC models implemented by HESML. All these intrinsic IC models can be obtained by calling the ICModelsFactory.getCorpusICmodel() method.
| CorpusBasedICModelType enum | Reference |
|---|---|
| Resnik | P. Resnik, Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language, Journal of Artificial Intelligence Research. 11 (1999) 95–130. |
| CondProbCorpus | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbRefCorpus | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
Table below enumerates all intrinsic IC models implemented by HESML. All these intrinsic IC models can be obtained by calling the ICModelsFactory.getIntrinsicICmodel() method.
| IntrinsicICModelType enum | Reference |
|---|---|
| Seco | N. Seco, T. Veale, J. Hayes, An intrinsic information content metric for semantic similarity in WordNet, in: R. López de Mántaras, L. Saitta (Eds.), Proceedings of the 16th European Conference on Artificial Intelligence (ECAI), IOS Press, Valencia, Spain, 2004: pp. 1089–1094. |
| Cai | Y. Cai, Q. Zhang, W. Lu, X. Che, A hybrid approach for measuring semantic similarity based on IC-weighted path distance in WordNet, J. Intell. Inf. Syst. (2017) 1–25. |
| Blanchard | E. Blanchard, M. Harzallah, P. Kuntz, A generic framework for comparing semantic similarities on a subsumption hierarchy, in: M. Ghallab, C.D. Spyropoulos, N. Fakotakis, N. Avouris (Eds.), Proceedings of the ECAI, IOS Press, 2008: pp. 20–24. |
| Zhou | Z. Zhou, Y. Wang, J. Gu, A new model of information content for semantic similarity in WordNet, in: Proc.of the Second International Conference on Future Generation Communication and Networking Symposia (FGCNS’08), IEEE, 2008: pp. 85–89. |
| Sanchez2011 | D. Sánchez, M. Batet, D. Isern, Ontology-based information content computation, Knowledge-Based Systems. 24 (2011) 297–303. |
| Sanchez2012 | D. Sánchez, M. Batet, A new model to compute the information content of concepts from taxonomic knowledge, International Journal on Semantic Web and Information Systems (ISWIS). 8 (2012) 34–50. |
| Harispe | S. Harispe, S. Ranwez, S. Janaqi, J. Montmain, The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis, in: E. Métais, M. Roche, M. Teisseire (Eds.), Proc. of the 19th International Conference on Applications of Natural Language to Information Systems (NLDB 2014), Springer, Montpelier, France, 2014: pp. 254–257. |
| Meng | L. Meng, J. Gu, Z. Zhou, A new model of information content based on concept’s topology for measuring semantic similarity in WordNet, International Journal of Grid and Distributed Computing. 5 (2012) 81–93. |
| Yuan | Q. Yuan, Z. Yu, K. Wang, A New Model of Information Content for Measuring the Semantic Similarity between Concepts, in: Proc. of the International Conference on Cloud Computing and Big Data (CloudCom-Asia 2013), IEEE Computer Society, 2013: pp. 141–146. |
| HadjTaieb | M.A. Hadj Taieb, M. Ben Aouicha, A. Ben Hamadou, Computing semantic relatedness using Wikipedia features, Knowledge-Based Systems. 50 (2013) 260–278. |
| HadjTaiebHypoValue | M.A. Hadj Taieb, M. Ben Aouicha, A. Ben Hamadou, Ontology-based approach for measuring semantic similarity, Eng. Appl. Artif. Intell. 36 (2014) 238–261. |
| CondProbHyponyms | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbUniform | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbLeaves | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbCosine | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbLogistic | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbLogisticK10 | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbLogisticK12 | J.J. Lastra-Díaz, A. García-Serrano, A new family of information content models with an experimental survey on WordNet, Knowledge-Based Systems. 89 (2015) 509–526. |
| CondProbRefHyponyms | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefUniform | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefLeaves | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefCosine | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefLogistic | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefCosineLeaves | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefLogisticLeaves | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefLeavesSubsumers | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefLeavesSubsumersRatio | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| CondProbRefSubsumedLeavesRatio | J.J. Lastra-Díaz, A. García-Serrano, A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet, NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED), 2016. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement |
| Adhikari | A. Adhikari, S. Singh, A. Dutta, B. Dutta, A novel information theoretic approach for finding semantic similarity in WordNet, in: Proc. of IEEE International Technical Conference (TENCON-2015), IEEE, Macau, China, 2015: pp. 1–6. |
| AouichaTaiebAsGIC | M.B. Aouicha, M.A.H. Taieb, Computing semantic similarity between biomedical concepts using new information content approach, J. Biomed. Inform. 59 (2016) 258–275. |
| AICAouichaTaiebHamadu2016 | M. Ben Aouicha, M.A.H. Taieb, A. Ben Hamadou, Taxonomy-based information content and wordnet-wiktionary-wikipedia glosses for semantic relatedness, Appl Intell. (2016) 1–37. |
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