Jing Bai

Affiliations:
  • Ibaraki University, Department of Computer and Information Sciences, Hitachi, Japan


According to our database1, Jing Bai authored at least 10 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2020
Determining the Logical Relation between Two Sentences by Using the Masked Language Model of BERT.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Construction of document feature vectors using BERT.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Analysis of Polysemy using Variance Values for Word Embeddings by BERT.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Construction of Domain-Specific DistilBERT Model by Using Fine-Tuning.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Evaluation of BERT Models by Using Sentence Clustering.
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

2019
Detecting Missing Translations in Neural Machine Translation Using Information Quantity in Sentences.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Unsupervised Domain Adaptation for Sentimental Classification by Word Embeddings on the Lower Layer of BERT.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Combination of Feature-based and Instance-based methods for Domain Adaptation in Sentiment Classification.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Document Classification by Word Embeddings of BERT.
Proceedings of the Computational Linguistics, 2019

2018
Domain Adaptation for Sentiment Analysis using Keywords in the Target Domain as the Learning Weight.
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018


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