Syntree2Vec - An algorithm to augment syntactic hierarchy into word embeddings

Word embeddings aims to map sense of the words into a lower dimensional vector space in order to reason over them. Training embeddings on domain specific data helps express concepts more relevant to their use case but comes at a cost of accuracy when data is less. Our effort is to minimise this by i...

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Bibliographic Details
Published inarXiv.org
Main Author Bhardwaj, Shubham
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 14.08.2018
Subjects
Algorithms
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Summary:Word embeddings aims to map sense of the words into a lower dimensional vector space in order to reason over them. Training embeddings on domain specific data helps express concepts more relevant to their use case but comes at a cost of accuracy when data is less. Our effort is to minimise this by infusing syntactic knowledge into the embeddings. We propose a graph based embedding algorithm inspired from node2vec. Experimental results have shown that our algorithm improves the syntactic strength and gives robust performance on meagre data.
ISSN:2331-8422