Scholar
Mark Lee
Google Scholar ID: 1AIdLa0AAAAJ
University of Birmingham
Citations & Impact
Citations
923
H-index
16
i10-index
28
Publications
20
Co-authors
33
list available
Publications
Resume (English only)
Academic Achievements
- Has supervised numerous completed PhD students whose research areas include event detection in natural language, metaphor detection using deep learning, event extraction from text, graph-based text abstraction, detecting emotional intensity in text, fake news detection, deep knowledge structures for question answering, out-of-domain dependency parsing, deep learning applications for dependency parsing, improving software quality through traceability in model-to-model, polyglot speech synthesis, sentiment analysis in patient feedback, table extraction for mathematical documents, fine-grained named entity extraction, reducing out-of-vocabulary in morphology to improve the accuracy in Arabic dialects speech recognition, generating SBVR and OCL through a natural language processing approach, unsupervised natural language syntax induction from corpora, cross-document coreference and proper names.
Research Experience
- Supervises multiple PhD students across a range of topics including AI and Education, mitigating sexist and homophobic bias in LLMs, information extraction from tender documents, joint projects with psychology, biomedical information extraction from text, interpretability and analysis of multilingual NLP models, few-shot learning for NLP, and aspect-based sentiment analysis. Has served as an external examiner at several universities.
Background
- Research interests are focused on Natural Language Processing, with specific interests in Sentiment Analysis, Semantics/Pragmatics of natural language, especially figurative language, and applications in Medical Informatics.
