Hughes Research Laboratories: description of the Trainable Text Skimmer used for MUC-4

Hughes research laboratories Trainable Text Skimmer: MUC-4 test results and analysis

Hughes Trainable Text Skimmer: MUC-3 test results and analysis

Figure 1 gives the official results for the Hughes Trainable Text Skimmer used for MUC 3 (TTS-MUC3) . TTS is a largely statistical system, using a K-Nearest Neighbor classifie r with the output of a shallow parser as features. (See the System Summary section of thi s volume for a detailed description of TTS-MUC3). The performance, on a slot by slot basi s is, therefore, what one might expect: t...

Hughes Trainable Text Skimmer: description of the TTS system as used for MUC-3

TTS-MUC3 incorporates semi-automated lexicon generation and almost fully automated phras e pattern generation. Associative retrieval from a case memory provides raw data for computing se t fills and string fills . TTS-MUC3's modular process model integrates the results of case memor y retrieval over sentences from multiple stories, extracts the date and location of incidents, an d computes cros...

Tools and techniques for rapid porting

Charlie Dolan, from Hughes Research Laboratories, discussed some of the difficulties in using trainable components in an information extraction system. The UMass/Hughes system used six different trainable components in their MUC5 system ; portability between the EJV and EME domains was achieved partl y through retraining these components. One of these components, the Trainable Template Generato...

Umass/hughes: Description of the Circus System Used for Muc-51

The primary goal of our effort is the development of robust and portable language processing capabilities for information extraction applications. The system under evaluation here is based on language processing components that have demonstrated strong performance capabilities in previous evaluations [Lehnert et al. 1992a]. Having demonstrated the general viability of these techniques, we are n...