4 citations · 4 across the 3 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
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
Auto-AdvER: Disentangling Condition, History, and Commercial Offers in Automotive Advertisements
Filippos Ventirozos, Ioanna Nteka, Tania Nandy +5
This paper presents a case study on the development of Auto-AdvER, a specialised span-labelling schema, along with its corresponding dataset for the textual car advertisement domai…