
معرفی
Dr. Mark Hepple is a Reader (Associate Professor) at the University of Sheffield's School of Computer Science, affiliated with the Natural Language Processing (NLP) research group. With a BSc in Psychology from Sheffield (1986) and MSc/PhD in Cognitive Science from the University of Edinburgh (1987, 1990), he joined Sheffield in 1993 following research positions at Cambridge and the University of Pennsylvania.
His research spans:
- Core NLP: Formal grammar, parsing algorithms, and efficient linguistic data storage
- Applied NLP: Clinical text mining, temporal information extraction, and dialogue systems
- Low-resource languages: Igbo language tooling (POS taggers, diacritic restoration)
- Social media analysis: Comment clustering, sub-story detection, and summarization
Recent publication trends (2016-2020) show concentrated work on:
- Igbo NLP resources (tagging, diacritics, embeddings)
- Social media comment analysis using clustering and summarization
- Event detection via temporal word co-occurrence models
He has led significant grants including:
- SENSEI (EU FP7, £459K): Human conversation analysis
- uComp (EPSRC, £375K): Human computation for knowledge extraction
- CLEF (MRC, £401K): Clinical text mining frameworks
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