The computational program for theoretical neuroscience initiated by Marr and Poggio (1977) calls for a study of biological information processing on several distinct levels of abstraction. At each of these levels — computational (defining the problems and considering possible solutions), algorithmic (specifying the sequence of operations leading to a solution) and implementational — significant...

I believe that human story competence—understanding, telling, authoring—lies at the center of human intelligence. To better understand that competence, my students and I are building the Genesis storyunderstanding system, a system that reads 100-sentence stories adapted from sources such as Hansel and Gretel, Crow creation myths, and Shakespeare’s plays. I explain how our work has been guided b...

The term statistical methods here refers to a methodology that has been dominant in computational linguistics since about 1990. It is characterized by the use of stochastic models, substantial data sets, machine learning, and rigorous experimental evaluation. The shift to statistical methods in computational linguistics parallels a movement in artificial intelligence more broadly. Statistical m...

The applications described here follow up the works performed in the recent last years by the Data Structures and Computational Linguistics Group at Las Palmas de Gran Canaria University. These works have been developed about computational Linguistics and, as one of their results, some tools for morphologic identification and generation have been released. This work presents the use of those to...

The major contributions of this thesis are articulated around the three basic axes of computational linguistics, namely logic, linguistics and computer science. We propose a new undirected system GLE which allows to simulate the transformational operations of the Minimalist Program within a logical setting. The relevance of this formalism is underlined by showing its ability to deal with comple...

This chapter argues that an abstract, application-independent, psychologicallyneutral level, which we call Computational Mathetics, is needed as a basis for Intelligent Tutoring Systems research. The aims and scope of Computational Mathetics are described by analogy with Computational Linguistics. Some preliminary examples of work within Computational Mathetics are outlined.

Within this paper we are proposing and testing a new strategy for detection and measurement of similarity between sequences of proteins. Our approach has its roots in computational linguistics and the related techniques for quantifying and comparing content in strings of characters. The pairwise comparison of proteins relies on the content regularities expected to uniquely characterize each seq...

A precise and commonly accepted definition of paraphrasing does not exist. This is one of the reasons that have prevented computational linguistics from a real success when dealing with this phenomenon in its systems and applications. With the aim of helping to overcome this difficulty, in this article, new insights on paraphrase characterization are provided. We first overview what has been sa...

Information technology should have much to offer linguistics, not only through the opportunities offered by large-scale data analysis and the stimulus to develop formal computational models, but through the chance to use language in systems for automatic natural language processing. The paper discusses these possibilities in detail, and then examines the actual work that has been done. It is ev...

The emergence of Internet as a global information repository, where information of all kind is stored, requires intelligent information processing tools (i.e., computer applications) to help the information seeker to retrieve the stored information. To build these intelligent information processing tools, we need to build computer applications that understand human language since most of those ...