An Online Name Disambiguation Method Based on Entity and Property Co-occurrence

Name disambiguation plays an important role in text processing. Names in natural language text are usually ambiguous, as many people share a same name, so do organizations and entities in other domains. The goal of name disambiguation is to identify the different referents of a same name in corpus. Technology of name disambiguation can be applied in web searching, information extraction, translation system, questioning-answer system, and so on. The key part to solving name ambiguity problem is to model context of names and feature of candidates, and then measure similarity. We proposed a representation, Bag of Entity with Property, BoEwP, to model a document, the context of names. Then, we presented an online disambiguation method for person or organization names based on entity and property co-occurrence. We performed experiments on Chinese, Spanish and English corpus. Our approach got nice precision and recall measurements, and required low system resources.