Murtadha H. M. Ahmed

According to our database, Murtadha H. M. Ahmed authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

RoFormer: Enhanced transformer with Rotary Position Embedding.

Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, Yunfeng Liu

Neurocomputing, February, 2024

Towards Robust Learning with Noisy and Pseudo Labels for Text Classification.

Murtadha H. M. Ahmed, Bo Wen, Luo Ao, Shengfeng Pan, Jianlin Su, Xinxin Cao, Yunfeng Liu

Inf. Sci., 2024

BERT-ASC: Auxiliary-sentence construction for implicit aspect learning in sentiment analysis.

Ahmed Murtadha, Bo Wen, Shengfeng Pan, Jianlin Su, Luo Ao, Yunfeng Liu

Expert Syst. Appl., 2024

AlcLaM: Arabic Dialectal Language Model.

Ahmed Murtadha, Saghir Alfasly, Wen Bo, Jamaal Qasem, Mohammed Ahmed, Yunfeng Liu

CoRR, 2024

Naive Bayes-based Context Extension for Large Language Models.

Jianlin Su, Murtadha H. M. Ahmed, Wen Bo, Luo Ao, Mingren Zhu, Yunfeng Liu

CoRR, 2024

AlclaM: Arabic Dialect Language Model.

Murtadha H. M. Ahmed, Saghir Alfasly, Bo Wen, Jamal Addeen, Mohammed Ahmed, Yunfeng Liu

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

Naive Bayes-based Context Extension for Large Language Models.

Jianlin Su, Murtadha H. M. Ahmed, Bo Wen, Luo Ao, Mingren Zhu, Yunfeng Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

A three-stage neural model for Arabic Dialect Identification.

Mohammed Abdelmajeed, Jiangbin Zheng, Ahmed Murtadha

Comput. Speech Lang., May, 2023

Supervised Gradual Machine Learning for Aspect-Term Sentiment Analysis.

Yanyan Wang, Qun Chen, Murtadha H. M. Ahmed, Zhaoqiang Chen, Jing Su, Wei Pan, Zhanhuai Li

Trans. Assoc. Comput. Linguistics, 2023

Rank-Aware Negative Training for Semi-Supervised Text Classification.

Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu

Trans. Assoc. Comput. Linguistics, 2023

2022

Relationship of the language distance to English ability of a country.

Xinxin Cao, Xiaolan Lei, Ahmed Murtadha

CoRR, 2022

Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition.

Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu

CoRR, 2022

ZLPR: A Novel Loss for Multi-label Classification.

Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu

CoRR, 2022

BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis.

Ahmed Murtadha, Shengfeng Pan, Bo Wen, Jianlin Su, Wenze Zhang, Yunfeng Liu

CoRR, 2022

2021

Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints.

Yanyan Wang, Qun Chen, Murtadha H. M. Ahmed, Zhanhuai Li, Wei Pan, Hailong Liu

IEEE Trans. Knowl. Data Eng., 2021

Aspect-level sentiment analysis based on gradual machine learning.

Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li

Knowl. Based Syst., 2021

Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference.

Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed

Inf., 2021

DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis.

Murtadha H. M. Ahmed, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li, Tianyi Duan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Constructing domain-dependent sentiment dictionary for sentiment analysis.

Murtadha H. M. Ahmed, Qun Chen, Zhanhuai Li

Neural Comput. Appl., 2020

2019

Gradual Machine Learning for Aspect-level Sentiment Analysis.

Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li

CoRR, 2019

Hint-Embedding Attention-Based LSTM for Aspect Identification Sentiment Analysis.

Murtadha H. M. Ahmed, Qun Chen, Yanyan Wang, Zhanhuai Li

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Gradual Machine Learning for Entity Resolution.

Boyi Hou, Qun Chen, Yanyan Wang, Ping Zhong, Murtadha H. M. Ahmed, Zhaoqiang Chen, Zhanhuai Li

CoRR, 2018

Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective.

Zhaoqiang Chen, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li

CoRR, 2018

SenHint: A Joint Framework for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints.

Yanyan Wang, Qun Chen, Xin Liu, Murtadha H. M. Ahmed, Zhanhuai Li, Wei Pan, Hailong Liu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

GraphU: A Unified Vertex-Centric Parallel Graph Processing Platform.

Jing Su, Qun Chen, Zhuo Wang, Murtadha H. M. Ahmed, Zhanhuai Li

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective.

Zhaoqiang Chen, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li

Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018

2017

POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support.

Ping Zhong, Zhanhuai Li, Qun Chen, Yanyan Wang, Lianping Wang, Murtadha H. M. Ahmed, Fengfeng Fan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017