research institutes, and academic institutions from far corners of the world. The subtitle was “Theory for systems; application for theories,” and the aim was to find common ground between those who work on defining The American Association for Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2002 Spring Symposium Series, held Mond...

Medical diagnosis is one of the most important significant applications of computer science. Knowledge based system is to produce intelligent machine or software which emulate human being’s intelligence. Integration of artificial Intelligence and knowledge based systems leads to a new technology. Application of knowledge based system has been aptly applied to make diagnosis process easier and f...

Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cognitive state. Language abilities, in particular, require a learned mapping between the linguistic input and one’s internal model of the real world. In order to demonstrate that connectionist methods excel at this task, ...

In this paper we present IDEAL+, a parsing architecture for Italian, which pursues the goal of pairing robustness with deep linguistic analysis by extending a shallow processing kernel with a pool of hybrid constraints for the incremental identification of grammatical relations. The parsing output takes the form of dependency structures representing the full range of instantiated functional rel...

This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst, under a contract with the European Language resources Distribution Agency (ELDA). The corpus consists of 30 hours of recordings transcribed and annotated with conventions similar to those adopted by the Linguistic Data Consortium for the DARPA HUB-4 corpora. The corpus will be completed and rel...

This presentation reports on recent progress the Linguistic Data Consortium has made in addressing the needs of multiple research communities by collecting, annotating and distributing, simplifying access and developing standards and tools. Specifically, it describes new trends in publication, a sample of recent projects and significant improvements to LDC Online that improve access to LDC data...

This paper describes the collection of the H1 Corpus of children’s weekly writing over the course of 3 months in 2nd and 3rd grades, aged 7-11. The texts were collected within the normal classroom setting by the teacher. Texts of children whose parents signed the permission to donate the texts to science were collected and transcribed. The corpus consists of the elicitation techniques, an overv...

It is claimed that bilingual children have two separate linguistic systems from early ages. Over the past decades, linguists carried out a number of studies to test the validity of the claim. They explored bilingual children’s code-mixing in correlation with a variety of linguistic elements, such as lexicon, syntax, phonology in different contexts, concluding that bilingual children had separat...

On the Linguistic Data Consortium’s (LDC) 20th anniversary, this paper describes the changes to the language resource landscape over the past two decades, how LDC has adjusted its practice to adapt to them and how the business model continues to grow. Specifically, we will discuss LDC’s evolving roles and changes in the sizes and types of LDC language resources (LR) as well as the data they inc...

This paper describes the Unisys MUC-3 text understanding system, a system based upon a three tiered approach to text processing in which a powerful knowledge-based form of information retrieval plays a central role . This knowledge-based form of information retrieval makes it possible to define a n effective level of text analysis that falls somewhere between what is possible with standard keyw...