Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Knowledge Graphs (KG) are emerging and becoming increasingly popular. Building a domain knowledge graph from a large amount of text is a challenging task which requires a tremendous amount of work, including entity recognition, entity disambiguation, and relationship extraction. In this context, the 3rd NLP4KGC workshop brings together academics, industry experts, and enthusiasts from the natural language processing (NLP) and knowledge graph (KG) creation fields in a common forum. The objective is to foster collaboration and knowledge sharing among researchers, developers, and practitioners working at the cutting edge of NLP and KG creation. After two successful previous editions, the 3rd NLP4KGc is co-located with the 20th International Conference on Semantic Systems (SEMANTiCS 2024). After a rigorous review process, 10 papers were accepted for oral presentations at the event. Workshop Website: https://sites.google.com/view/3rdnlp4kgc/ Previous Proceedings: https://ceur-ws.org/Vol-3510/, https://doi.org/10.1145/3543873.3589746.
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Pradip Bose
VTS 1998
Raymond Wu, Jie Lu
ITA Conference 2007
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum