Abstract The typical natural-language pipeline can be thought of as proceeding by successive transformation of various data structures, especially strings and trees. For instance, low-level speech processing can be viewed as transduction of strings of[…]
Abstract Coping with information overload is a major challenge of the 21st century. In previous eras, access to information was difficult and often tightly controlled as a source of power. Today, we are overloaded with[…]
View Seminar Video Abstract Generative models such as Bayesian networks, distributions, and hidden Markov models are elegant formalisms to setup and specify prior knowledge about a learning problem. However, the standard estimation methods they rely[…]
View Seminar Video Abstract There is precisely one complete language processing system to date: the human brain. Though there is debate on how much built-in bias human learners might have, we definitely acquire language in[…]
View Seminar Video Abstract Recently, many corpus-based and web-based knowledge acquisition systems have been proposed for creating lexical resources. Not many attempts, however, have been made at ontologizing these resources. We present a semi-automatic method[…]
