In this paper, we find domain-specific documents based on ontology for training word2vec model. To do so, we use Kernel Density Estimation (KDE) to estimate ...
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We suggest ontology-aided word2vec based synonym identification method. In this paper, we find domain-specific documents based on ontology for training word2 ...
There are two methods for synonym identification [2]. One is a pattern-based, and the other is a context-based.
This paper finds domain-specific documents based on ontology for training word2vec model and uses Kernel Density Estimation (KDE) to estimate distributions ...
In this case, ontology matching enables the identification of correspondences between elements of data source schemas. We propose an ontology matching approach ...
Jun 6, 2017 · Word2vec tends to indicate similar words – but as you've probably seen, the kind of similarity it learns includes more than just pure synonyms.
May 11, 2021 · In this work, we first propose to use Word2Vec to model the entities in vector space and calculate their similarity values.
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The use of the BERT synonym classifier helps in improving the accuracy of ontology alignment. Despite significant work in synonym identification, most of it is ...
Ontology-aided Word2vec based Synonym Identification for Ontology Alignment. 2020 IEEE International Conference on Big Data and Smart Computing (BigComp), 2020.
Ontology-aided Word2vec based Synonym Identification for Ontology Alignment ... This paper finds domain-specific documents based on ontology for training word2vec ...