Maria Mihaela Trusca

Orcid: 0000-0002-9204-0389

According to our database1, Maria Mihaela Trusca authored at least 17 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Cross-domain aspect-based sentiment analysis using domain adversarial training.
World Wide Web (WWW), November, 2023

Survey on aspect detection for aspect-based sentiment analysis.
Artif. Intell. Rev., May, 2023

Diagnostic Classifiers for Explaining a Neural Model with Hierarchical Attention for Aspect-based Sentiment Classification.
J. Web Eng., 2023

Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments.
CoRR, 2023

Sequence-to-Sequence Spanish Pre-trained Language Models.
CoRR, 2023

A Cross-Domain Aspect-Based Sentiment Classification by Masking the Domain-Specific Words.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers.
Proceedings of the Natural Language Processing and Information Systems, 2023

2022
Modeling Second Language Acquisition with pre-trained neural language models.
Expert Syst. Appl., 2022

Domain Adversarial Training for Aspect-Based Sentiment Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Explaining a Deep Neural Model with Hierarchical Attention for Aspect-Based Sentiment Classification Using Diagnostic Classifiers.
Proceedings of the Web Engineering - 22nd International Conference, 2022

2021
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Data augmentation in a hybrid approach for aspect-based sentiment analysis.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020
Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification.
CoRR, 2020

Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews.
Proceedings of the Natural Language Processing and Information Systems, 2020

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.
Proceedings of the Web Engineering - 20th International Conference, 2020

Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020


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