Mohammad Golam Sohrab
Orcid: 0000-0001-5540-7834
According to our database1,
Mohammad Golam Sohrab
authored at least 15 papers
between 2013 and 2024.
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Bibliography
2024
BERT-NAR-BERT: A Non-Autoregressive Pre-Trained Sequence-to-Sequence Model Leveraging BERT Checkpoints.
IEEE Access, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
2021
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021
2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020
2019
A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Computación y Sistemas, 2017
Detection of Typical Progress Patterns of Industrial Incidents by Text Mining Technique.
Proceedings of the Advances in Human Error, Reliability, Resilience, and Performance, 2017
2016
IN-DEDUCTIVE and DAG-Tree Approaches for Large-Scale Extreme Multi-label Hierarchical Text Classification.
Polibits, 2016
2015
Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
2013
Inf. Sci., 2013