WordNet-based word similarity reproducible experiments based on HESML V1R1 and ReproZip
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http://doi.org/10.17632/65pxgskhz9.1
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This dataset is provided as supplementary material of the paper by Lastra-Díaz, J. J., & García-Serrano, A. (2016). HESML: a scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset. Information Systems.
This dataset contains a ReproZip reproducible experiment file, called "HESMLv1r1_reproducible_exps.rpz", which allows the experimental surveys on word similarity on WordNet introduced in the three papers below to be reproduced exactly.
[1] Lastra-Díaz, J. J., & García-Serrano, A. (2015). A novel family of IC-based similarity measures with a detailed experimental survey on WordNet. Engineering Applications of Artificial Intelligence Journal, 46, 140–153. http://dx.doi.org/10.1016/j.engappai.2015.09.006
[2] Lastra-Díaz, J. J., & García-Serrano, A. (2015). A new family of information content models with an experimental survey on WordNet. Knowledge-Based Systems, 89, 509–526. http://dx.doi.org/10.1016/j.knosys.2015.08.019
[3] Lastra-Díaz, J. J., & García-Serrano, A. (2016). A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet (No. TR-2016-01). NLP and IR Research Group. ETSI Informática. Universidad Nacional de Educación a Distancia (UNED).
http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement
本数据集作为Lastra-Díaz, J. J.与García-Serrano, A.（2016年）发表的论文《HESML：一种基于本体论的语义相似度度量库，包含一组可复现实验和复现数据集》的补充材料提供。该数据集包含一个名为“HESMLv1r1_reproducible_exps.rpz”的ReproZip可复现实验文件，该文件能够精确复现以下三篇论文中提出的WordNet中词汇相似性实验研究。
[1] Lastra-Díaz, J. J. & García-Serrano, A.（2015年）. 基于信息内容的新颖相似度度量系列及其在WordNet上的详细实验调查. 工程应用人工智能杂志，46，140–153. http://dx.doi.org/10.1016/j.engappai.2015.09.006
[2] Lastra-Díaz, J. J. & García-Serrano, A.（2015年）. 一种新的信息内容模型系列及其在WordNet上的实验调查. 知识系统工程，89，509–526. http://dx.doi.org/10.1016/j.knosys.2015.08.019
[3] Lastra-Díaz, J. J. & García-Serrano, A.（2016年）. 对信息内容模型的完善及其在WordNet上的细致实验调查（编号TR-2016-01）. 自然语言处理与信息检索研究组. 电子技术与信息系统学院. 马德里远程教育国立大学（UNED）. http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-Informes-Jlastra-refinement
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Mendeley Data
