ESpotter: Adaptive Named Entity Recognition for Web Browsing

Web users are facing information overload problems, i.e., it is

hard for them to find desired information on the web. Hence the

growing interest in named entity recognition (NER) for

discovering relevant information on users behalf. We present a

browser plug-in called ESpotter which adapts lexicons and

patterns to a domain hierarchy consisting of domains on the web

and user preferences for accurate and efficient NER. Mappings

are created from domain independent types to domain specific

types. Entities are highlighted according to their types, and users

are assisted by navigational functionalities between these

highlighted entities.