Emma Barker

Dr Emma Barker is a Research Fellow and Data Science & AI Community Manager at the University of Sheffield's School of Computer Science. Her work focuses on Natural Language Processing (NLP), computational linguistics, and data science applications. She has contributed to projects involving term extraction from web texts, analysis of online news reader comments, and development of spoken language corpora. Her research bridges theoretical NLP advancements with practical applications in information retrieval, social media analysis, and cross-lingual systems.

Her publications emphasize techniques like graph-based clustering for news comment analysis, automated label generation for topic categorization, and corpus development for dialogue systems. She collaborates on interdisciplinary projects such as the SENSEI corpus and the Sheffield Numbers Spoken Language Corpus (SNuC). Barker also plays an active role in community-building through her Data Science & AI Community Manager role, fostering academic-industry partnerships and advancing AI adoption in real-world contexts.

Key research themes include argumentation mining in multi-party conversations, cross-domain document classification, and bootstrapping methods for multilingual term extraction. Her work spans technical innovations in NLP tools integration, evaluation metrics for summarization systems, and graph-theoretic approaches to content analysis. Despite no listed awards, her contributions to open-source corpora and collaborative frameworks reflect her commitment to advancing computational linguistics and data science practices.