EAGLE: An Extensible Architecture for General Linguistic Engineering
Breck Baldwin, Christine Doran, Jeff Reynar, Srinivas Bachu, Michael Niv, Mark Wasson · 1997
We present a general purpose natural language system which advances the stateof -the-art in several areas. The system contains demonstrated advancements in part-of-speech tagging, end-of-sentence detection, and coreference resolution. In addition, we believe that we have strong maximal noun phrase detection, and subject-verb-object recognition and a pattern matching language well suited to a range of tasks. Other features of the system include modularity and interchangeability of components, rapid component integration and a debugging environment. KeyWords Natural language processing; system architecture; information extraction This work while done while the author was at the University of Pennsylvania. 1 Introduction There are two schools of thought about developing large, robust natural language processing (NLP) systems. The first is to build a system from scratch (e.g. [Kru95]), developing the necessary components as part of the larger structure of the system. The second appro...