Abstract
We will report evaluation of Automatic Named Entity Extraction feature of IR tools on Dutch, French, and English text. The aim is to analyze the competency of off-the-shelf information extraction tools in recognizing entity types including person, organization, location, vehicle, time, & currency from unstructured text. Within such an evaluation one can compare the effectiveness of different approaches for identifying named entities. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Kumar, N., De Beer, J., Vanthienen, J., & Moens, M. F. (2006). Evaluation of information retrieval and text mining tools on automatic named entity extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3975 LNCS, pp. 666–667). Springer Verlag. https://doi.org/10.1007/11760146_81
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
