Feb. 29, 2024, 5:48 a.m. | Kenneth Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.18209v1 Announce Type: new
Abstract: Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research. However, Danish NER is inhibited by a lack of available datasets. As a consequence, no current models are capable of fine-grained named entity recognition, nor have they been evaluated for potential generalizability issues across datasets and domains. To alleviate these limitations, this paper introduces: 1) DANSK: a named entity dataset providing for high-granularity tagging …

abstract applications arxiv cs.cl current datasets domain fine-grained industry language ner nlp recognition research technology type

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Sr. BI Analyst

@ AkzoNobel | Pune, IN