Semantic Text Analysis Technology Application in Assessing Current Threats and Software Vulnerabilities

Author:

Vasilyev V.,Vulfin A.,Gvozdev V.,Nikonov A.

Funder

Russian Foundation for Basic Research

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference25 articles.

1. Abdelwahab, O and Elmaghraby, A (2016). UofL at SemEval-2016 Task 4: Multi domain word2vec for Twitter sentiment classification. In: 10th international workshop on semantic evaluation (SemEval-2016). pp. 164-170.

2. Bakarov, A (2018). A survey of word embeddings evaluation methods. arXiv preprint. arXiv:1801.09536.

3. From word to sense embeddings: A survey on vector representations of meaning;Camacho-Collados;Journal of Artificial Intelligence Research,2018

4. Learning semantic similarity for very short texts. In: International conference on data mining workshop;De Boom,2015

5. Cyber threat intelligence: challenges and opportunities;Dehghantanha,2018

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