Semantic Similarity Measurement Using Knowledge-Augmented Multiple-prototype Distributed Word Vector

Wei Lu, Kailun Shi, Yuanyuan Cai and Xiaoping Che
Additional contact information
Wei Lu: Beijing Jiaotong University, Beijing, China
Kailun Shi: Beijing Jiaotong University, Beijing, China
Yuanyuan Cai: Beijing Jiaotong University, Beijing, China
Xiaoping Che: Beijing Jiaotong University, Beijing, China

International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2016, vol. 8, issue 2, 45-57

Abstract: Recent years, textual semantic similarity measurements play an important role in Natural Language Processing. The semantic similarity between concepts or terms can be measured by various resources like corpora, ontologies, taxonomies, etc. With the development of deep learning, distributed vector models are constructed for extracting the latent semantic information from corpora. Most of existing models create a single prototype vector to represent the meaning of a word such as CBOW. However, due to lexical ambiguity, encoding word meaning with a single vector is problematic. In this work, the authors propose a knowledge-augmented multiple-prototype model by using corpora and ontologies. Based on the distributed word vector learned by the CBOW model, the authors append the concept definition and the relational knowledge vector into the target word vector to enrich the semantic information of the word. Finally, the authors perform the experiments on well-known datasets to verify the efficiency of the authors' approach.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJITN.2016040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitn00:v:8:y:2016:i:2:p:45-57

Access Statistics for this article

International Journal of Interdisciplinary Telecommunications and Networking (IJITN) is currently edited by Efosa Carroll Idemudia

More articles in International Journal of Interdisciplinary Telecommunications and Networking (IJITN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().