Search Results for author: Shaika Chowdhury

Found 7 papers, 0 papers with code

Ensemble Fine-tuned mBERT for Translation Quality Estimation

no code implementations WMT (EMNLP) 2021 Shaika Chowdhury, Naouel Baili, Brian Vannah

Quality Estimation (QE) is an important component of the machine translation workflow as it assesses the quality of the translated output without consulting reference translations.

Machine Translation Translation

Improving Medical NLI Using Context-Aware Domain Knowledge

no code implementations Joint Conference on Lexical and Computational Semantics 2020 Shaika Chowdhury, Philip Yu, Yuan Luo

Domain knowledge is important to understand both the lexical and relational associations of words in natural language text, especially for domain-specific tasks like Natural Language Inference (NLI) in the medical domain, where due to the lack of a large annotated dataset such knowledge cannot be implicitly learned during training.

Natural Language Inference

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

no code implementations6 Aug 2020 Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

Unlike most other QA tasks that focus on linguistic understanding, HeadQA requires deeper reasoning involving not only knowledge extraction, but also complex reasoning with healthcare knowledge.

Multiple-choice Question Answering

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

no code implementations6 Dec 2019 Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

Distributed representations of medical concepts have been used to support downstream clinical tasks recently.

Decision Making

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

no code implementations15 Oct 2019 Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

Predicting patient mortality is an important and challenging problem in the healthcare domain, especially for intensive care unit (ICU) patients.

Mortality Prediction Semantic correspondence

Multi-Task Pharmacovigilance Mining from Social Media Posts

no code implementations19 Jan 2018 Shaika Chowdhury, Chenwei Zhang, Philip S. Yu

Social media has grown to be a crucial information source for pharmacovigilance studies where an increasing number of people post adverse reactions to medical drugs that are previously unreported.

Cannot find the paper you are looking for? You can Submit a new open access paper.