Results 201 to 210 of about 33,665 (246)

Optimization for threat classification of various data types-based on ML model and LLM. [PDF]

Sci Rep
Hong C, Oh T.
europepmc   +1 more source

Application of the Bidirectional Long Short-Term Memory Method with Comparison of Word2Vec, GloVe, and FastText for Emotion Classification in Song Lyrics

Elangel Neilea Shaday, Ventje Jeremias Lewi Engel, Hery Heryanto   +2 more
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Predicting Drug-Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach.

JMIR Med Inform
Jeon W, Park M, An D, Nam W, Shin JY, Lee S, Lee S.   +6 more
europepmc   +1 more source

Semantic projection as a method to measure individual differences in semantic scale length: insights from autism-related traits. [PDF]

Sci Rep
Yang X, Zhan L, Wang Y.
europepmc   +1 more source

Adapting word2vec to Named Entity Recognition

, 2015
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word2vec or JoBimText?

Proceedings of the 7th Forum for Information Retrieval Evaluation, 2015
Exploration of distributional semantics for NLP tasks in Indian languages has been scarce. This work carries out a comparative analysis of two recent and high performing distributional semantics techniques namely word2vec and JoBimText. The task of lexical expansion of words in Hindi is considered for the analysis. A manual similarity assessment of the
Nitin Ramrakhiyani, Sachin Pawar, Girish Palshikar   +2 more
openaire   +1 more source

Critical Dimension of Word2Vec

2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), 2019
Word embeddings are an efficient way of representing text such that they can be used by different Machine Learning Algorithms. Word2Vec is one such word embedding model. Although it is highly efficient, this model can take up a lot of space to store the vector representations.
Shuvayanti Das, Sohan Ghosh, Shubham Bhattacharya, Rajat Varma, Dinabandhu Bhandari   +4 more
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Combining Taxonomies using Word2vec

Proceedings of the 2016 ACM Symposium on Document Engineering, 2016
Taxonomies have gained a broad usage in a variety of fields due to their extensibility, as well as their use for classification and knowledge organization. Of particular interest is the digital document management domain in which their hierarchical structure can be effectively employed in order to organize documents into content-specific categories ...
Swoboda, Tobias, Hemmje, Matthias, Dascalu, Mihai, Trausan-Matu, Stefan   +3 more
openaire   +1 more source