Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...
Spatial language video retrieval is an important real-world problem that is also a natural test bed for evaluating semantic structures for natural language descriptions of motion ...
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...