Overview of MUC-7

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...

Description of Lockheed Martin's NLToolset as Applied to MUC-7 (AATM7)

The NLToolset has been used to build a variety of information extraction applications, ranging from military message traffic to newswire accounts of corporate activity. AATM7 is an acronym for As Applied To MUC-7. AATM7 was not tailored specifically for MUC-7, but rather represents the NLToolset in a state of flux, as TIPSTER experimentation and the delivery of a real-world application were tak...

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]...

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...

Appendix F: MUC-7 Coreference Task Definition (version 3.0)