Similarity Evaluation with Wikipedia Features - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Similarity Evaluation with Wikipedia Features

Shahbaz Wasti
  • Fonction : Auteur
  • PersonId : 1118807
Yuncheng Jiang
  • Fonction : Auteur
  • PersonId : 1118808

Résumé

Wikipedia provides rich semantic features e.g., text, link, and category structure. These features can be used to compute semantic similarity (SS) between words or concepts. However, some existing Wikipedia-based SS methods either rely on a single feature or do not incorporate the underlying statistics of different features. We propose novel vector representations of Wikipedia concepts by integrating their multiple semantic features. We utilize the available statistics of these features in Wikipedia to compute their weights. These weights signify the contribution of each feature in similarity evaluation according to its level of importance. The experimental evaluation shows that our new methods obtain better results on SS datasets in comparison with state-of-the-art SS methods.
Fichier principal
Vignette du fichier
498234_1_En_10_Chapter.pdf (348.44 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03456962 , version 1 (30-11-2021)

Licence

Paternité

Identifiants

Citer

Shahbaz Wasti, Jawad Hussain, Guangjiang Huang, Yuncheng Jiang. Similarity Evaluation with Wikipedia Features. 11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.99-104, ⟨10.1007/978-3-030-46931-3_10⟩. ⟨hal-03456962⟩
19 Consultations
8 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More