Adapting AIDA for Tweets
نویسندگان
چکیده
This paper presents our system for the “Making Sense of Microposts 2014 (#Microposts2014)” challenge. Our system is based on AIDA, an existing system that links entity mentions in natural language text to their corresponding canonical entities in a knowledge base (KB). AIDA collectively exploits the prominence of entities, contextual similarities, and coherence to effectively disambiguate entity mentions. The system was originally developed for clean and well-structured text (e. g. news articles). We adapt it for microposts, specifically tweets, with special focus on the named entity recognition and the entity candidate lookup.
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