Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
The nature of semistructured data in web collections is evolving. Increasingly, XML web documents (or documents exchanged via web services) are valid with regard to a schema, yet ...
Mariano P. Consens, Flavio Rizzolo, Alejandro A. V...
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
Abstract. Temporal expressions—references to points in time or periods of time—are widespread in text, and their proper interpretation is essential for any natural language pro...