Abstract. This paper presents a language-independent Multilingual Document Clustering (MDC) approach on comparable corpora. Named entites (NEs) such as persons, locations, organiza...
The participation of the University of Hildesheim focused on the monolingual German and English and the bilingual German English tasks of GeoCLEF 2006. Based on the results of Geo...
Kerstin Bischoff, Thomas Mandl, Christa Womser-Hac...
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Popular entities often have thousands of instances on the Web. In this paper, we focus on the case where they are presented in table-like format, namely appearing with their attri...
Conglei Yao, Yongjian Yu, Sicong Shou, Xiaoming Li
Abstract. This paper describes our approach to the Person Name Disambiguation clustering task in the Third Web People Search Evaluation Campaign(WePS3). The method focuses on two a...