Many natural language processing systems employ t ruth conditional knowledge representations (%ret)resentations' , etc.) to represent meanings of nata rm language expressions. T-representations have their strong and their weak sides. A strong side is logic: a relation of logical consequence can be de-. fined between such representations. A weak side is e x p r e s s i v e p o w e r : the capaci...

The main objective of Bolshakov and Gelbukh's new textbook in computational linguistics is to provide students in computer science with a foundation in the fundamentals of general linguistics necessary to develop applied software systems, and to enable students to make informed choices of proper models and data structures. Although Spanish-language applications are emphasized, the textbook cont...

Computational modeling of human language processes is a small but growing subfield of computational linguistics. This paper describes a course that makes use of recent research in psychocomputational modeling as a framework to introduce a number of mainstream computational linguistics concepts to an audience of linguistics, cognitive science and computer science doctoral students. The emphasis ...

Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pundits are predicting that the final damage will be even worse. Accompanying ICML 2015 in Lille, France, there was another, almost as big, event: the 2015 Deep...

For over two decades, researchers in artificial intelligence and computational linguistics have sought to discover principles that would allow computer systems to process natural languages such as English. This work has been pursued both to further the scientific goals of providing a framework for a computational theory of natural-language communication and to further the engineering goals of c...

Interactive information visualization is an emerging and powerful research technique that can be used to understand models of language and their abstract representations. Much of what computational linguists fall back upon to improve NLP applications and to model language “understanding” is structure that has, at best, only an indirect attestation in observable data. An important part of our re...