This paper reports results for the University of Maryland’s participation in CLEF-2005 Cross-Language Speech Retrieval track. Techniques that were tried include: (1) document ex...
This paper presents a novel system HENNA (Hybrid Person Name Analyzer) for identifying language origin and analyzing linguistic structures of person names. We conduct ME-based cla...
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...