3 papers
cs.CL2026
AutoSpecNER: A Fine-Grained Named Entity Recognition Dataset for Vehicle Specification Extraction
Jordan Lee, Filippos Ventirozos, Abdirahman Abdullahm +3
Vehicle advertisements contain rich specification information, but automotive NER resources remain limited. We introduce AutoSpecNER, an expert-annotated dataset for fine-grained e…
cs.CL2024
Shifting NER into High Gear: The Auto-AdvER Approach
Filippos Ventirozos, Ioanna Nteka, Tania Nandy +3
This paper presents a case study on the development of Auto-AdvER, a specialised named entity recognition schema and dataset for text in the car advertisement genre. Developed with…
math.PR2018
Positive temperature dynamics on Gelfand-Tsetlin patterns restricted by wall
Ioanna Nteka
The thesis focuses on processes on symplectic Gelfand-Tsetlin patterns. In chapter 4, a process with dynamics inspired by the Berele correspondence [Ber86] is presented. It is prov…