Md. Faisal Mahbub Chowdhury

FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information

Md. Faisal Mahbub Chowdhury, Alberto Lavelli · Joint Conference on Lexical and Computational Semantics · 2013 · 96 citations

Engineering, Hit Identification, Knowledge Extraction +30

Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug–drug interaction extraction and classification

Asma Ben Abacha, Md. Faisal Mahbub Chowdhury, Aikaterini Karanasiou et al. · Journal of Biomedical Informatics · 2015 · 77 citations · Full text

Systems Pharmacology, Drug Interactions, Drug Name Recognition +13

Disease Mention Recognition with Specific Features

Md. Faisal Mahbub Chowdhury, Alberto Lavelli · Meeting of the Association for Computational Linguistics · 2010 · 35 citations

Engineering, Machine Learning, Diagnosis +20

Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction

Md. Faisal Mahbub Chowdhury, Alberto Lavelli · Conference of the European Chapter of the Association for Computational Linguistics · 2012 · 30 citations

Novel Hybrid Kernel, Engineering, Tree Kernel +24

Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction

Md. Faisal Mahbub Chowdhury, Alberto Lavelli · North American Chapter of the Association for Computational Linguistics · 2013 · 27 citations

Engineering, New Features, Negation Cues +21