Resolving lexical ambiguity in a deterministic parser
Computational Linguistics
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Principle-Based Parsing
A Government-Binding Based Parser for Warlpiri, a Free-Word Order Language
A Government-Binding Based Parser for Warlpiri, a Free-Word Order Language
A news story categorization system
ANLC '88 Proceedings of the second conference on Applied natural language processing
A PROLOG implementation of Government-Binding Theory
COLING '86 Proceedings of the 11th coference on Computational linguistics
Automatic extraction of facts from press releases to generate news stories
ANLC '92 Proceedings of the third conference on Applied natural language processing
Automatic indexing and Government-Binding Theory
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
A News Analysis and Tracking System
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Emotion Sensitive News Agent (ESNA): A system for user centric emotion sensing from the news
Web Intelligence and Agent Systems
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This paper describes a prototype news analysis system which classifies and indexes news stories in real time. The system extracts stories from a newswire, parses the sentences of the story, and then maps the syntactic structures into a concept base. This process results in an index containing both general categories and specific details. Central to this system is a Government-Binding parser which processes each sentence of a news item. The system is completely modular and can be interfaced with different news feeds or concept bases.