Ágnes Gee

Ágnes Gee (born in Hungary) is a computational linguist and researcher specializing in natural language processing (NLP) and Hungarian language technology. Her work encompasses areas such as morphosyntactic analysis, dependency parsing, and the creation of linguistic resources for Hungarian. Gee has contributed significantly to the development of tools and datasets aimed at improving the accuracy and efficiency of NLP applications for the Hungarian language, which poses unique challenges due to its agglutinative morphology and relatively small resource availability compared to widely-spoken languages. Her research often focuses on adapting and improving existing NLP techniques for the specific characteristics of Hungarian, as well as developing novel approaches. Gee's publications appear in international NLP conferences and journals, demonstrating her active involvement in the international research community. Further specifics about her current projects and affiliations would require searching academic databases and professional profiles.