Targetable Named Entity Recognition in Social Media

Understand

We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e.g, movies, books, TV shows).

• Unlike many other NER systems that need to retrain their statistical models as new entities arrive, our approach does not require such retraining, which makes it more adaptable for types of entities that are frequently updated.
• For this preliminary study, we focus on one entity type, movie title, using data collected from Twitter.
• Our system is tested on two evaluation sets, one including only entities corresponding to movies in our training set, and the other excluding any of those entities.