Description of the LTG System Used for MUC-7

University of Durham: Description of the LOLITA system as Used in MUC-7

LOLITA has been designed in such a way that the code implementing the MUC tasks is only a small part of the whole system. A core system provides complex facilities with the MUC system being built so that it utilises these facilities. Hence, after some background to the LOLITA project, the ‘core’ of LOLITA is described. This system description is substantially similar to that given for MUC-6 [1]...

University of Sheffield: Description of the LaSIE-II System as Used for MUC-7

The University of She eld NLP group took part in MUC-7 using the LaSIE-II system, an evolution of the LaSIE (Large Scale Information Extraction) system rst created for participation in MUC-6 [9] and part of a larger research e ort into information extraction underway in our group. LaSIE-II was used to carry out all ve of the MUC-7 tasks and was, in fact, the only system to take part in all of t...

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...

SRA: Description of the IE2 System Used for MUC-7

Description of the Oki System as Used for MUC-7

This paper describes the Oki Information Extraction system as used for MUC-7 evaluation [1][2]. The tasks we have conducted are Named Entity, Co-reference, Template Element and Template Relation. Each module is implemented using MT system modules and pattern recognition modules. Our purposes to participate MUC-7 evaluation are to evaluate howMT system modules are e ective for other application ...