USC: description of the SNAP system used for MUC-5

USC: description of the SNAP system used for MUC-4

The main goal of the SNAP project is to build a massively parallel computer capable of fast and accurat e natural language processing [3] . Under NSF funding, a parallel computer was built in the Parallel Knowledg e Processing Laboratory at USC and software was developed to operate the machine [2] . The approach i n designing SNAP was to find a knowledge representation and a reasoning paradigm ...

UNISYS: description of the CBAS system used for MUC-5

American University in Cairo: Description of the American University in Cairo's System Used for MUC-7

Portions of the American University in Cairo's MUC-7 system, MUC7-Plink, have participated in every Message Understanding Competition since MUC-4. The Plink parser was developed at the University of Michigan where it formed the core of the systems entered in MUC-4 [2] and MUC-5 [1]. Recently, the Plink parser was added to GATE [6] to facilitate interaction between language processing modules. M...

Description of the UMass system as used for MUC-6

Information extraction research at the University of Massachusetts is based on portable, trainable language processing components. Some components are more effective than others, some have been under development longer than others, but in all cases, we are working to eliminate manual knowledge engineering. Although UMass has participated in previous MUC evaluations, all of our information extra...

SRA: description of the SOLOMON system as used for MUC-5

SRA used a language-independent, domain-independent, multipurpose text understanding system as the core of the M UC-5 system for extraction from English and Japanese joint venture texts, SRA 's NLP core systelll, SOLOMON, has been under development since 1986. It has been used for a variety of domains, and was aimed from the start to be language-independent, domain-independent, and application-...