Mohammad Golam Sohrab

Orcid: 0000-0001-5540-7834

According to our database1, Mohammad Golam Sohrab authored at least 14 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BERT-NAR-BERT: A Non-Autoregressive Pre-Trained Sequence-to-Sequence Model Leveraging BERT Checkpoints.
IEEE Access, 2024

2023
Disease Network Constructor: a Pathway Extraction and Visualization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
BiomedCurator: Data Curation for Biomedical Literature.
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
Span-based Neural Model for Multilingual Flat and Nested Named Entity Recognition.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020
BENNERD: A Neural Named Entity Linking System for COVID-19.
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
Deep Exhaustive Model for Nested Named Entity Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
EDGE2VEC: Edge Representations for Large-Scale Scalable Hierarchical Learning.
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
Class-indexing-based term weighting for automatic text classification.
Inf. Sci., 2013


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