The NYU system for MUC-6 or where's the syntax?
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NYU: Description of the Proteus/PET System as Used for MUC-7 ST
Through the history of the MUC's, adapting Information Extraction (IE) systems to a new class of events has continued to be a time-consuming and expensive task. Since MUC-6, the Information Extraction e ort at NYU has focused on the problem of portability and customization, especially at the scenario level. To begin to address this problem, we have built a set of tools, which allow the user to ...
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As with several other veteran Muc participants, MITRE'S Alembic system has undergone a major trans formation in the past two years. The genesis of this transformation occurred during a dinner conversation at the last Muc conference, MUC-5 . At that time, several of us reluctantly admitted that our major impediment towards improved performance was reliance on then-standard linguistic models of s...
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LSI's Data Base Generation (DBG) system is a syntax-driven natural language processing system that integrate s syntax and semantics to analyze message text. The goal of the DBG system is to perform full-scale lexical, syntactic, semantic, and discourse analyses of message text and produce a system-internal knowledge representatio n of the text that can serve as input to a downstream system or e...
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The latest in a series of natural language processing system evaluations was concluded in October 1995 and was the topic of the Sixth Message Understanding Conference (MUC-6) in November, co-chaired by Ralph Grishman (NYU) and Beth Sundheim (NRaD). Participants were invited to enter their systems in as many as four different task-oriented evaluations. The Named Entity and Coreference tasks enta...
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In this paper we describe a method of classifying facts (information) into categories or levels; where each level signiies a diierent degree of diiculty of extracting the fact from a piece of text containing it. We use this method to analyze the performances of three MUC systems (BBN, NYU, and SRI) based on their ability to extract a set of standard facts (at diierent levels) from two diierent ...
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