Zero-shot learning (ZSL) is a framework to classify images that belong unseen visual classes using their semantic descriptions about the classes. We develop new ZSL algorithm based on coupled dictionary learning. The core idea enforce features and attributes of an image share same sparse representation in intermediate embedding space, modeled as shared input space two sparsifying dictionaries. ...

Algorithms for classifying pre-tagged person entities in tweets into one of 8 profession categories are presented. A classifier using a semi-supervised learning algorithm that takes into consideration the local context surrounding the entity in the tweet, hash tag information, and topic signature scores is described. A method that uses data from the Web to dynamically create a reference file ca...

Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-based NLP systems impractical for real-world applications because they cannot be easily scaled up or po...