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ANLP
2000
123views more  ANLP 2000»
13 years 5 months ago
Noun Phrase Recognition by System Combination
The performance of machine learning algorithms can be improved by combining the output of different systems. In this paper we apply this idea to the recognition of noun phrases. W...
Erik F. Tjong Kim Sang
ANLP
2000
115views more  ANLP 2000»
13 years 5 months ago
An Empirical Assessment of Semantic Interpretation
We introduce a framework for semantic interpretation in which dependency structures are mapped to conceptual representations based on a parsimonious set of interpretation schemata...
Martin Romacker, Udo Hahn
ANLP
2000
95views more  ANLP 2000»
13 years 5 months ago
Extracting Molecular Binding Relationships from Biomedical Text
ARBITER is a Prolog program that extracts assertions about macromolecular binding relationships from biomedical text. We describe the domain knowledge and the underspecified lingu...
Thomas C. Rindflesch, Jayant V. Rajan, Lawrence Hu...
ANLP
2000
62views more  ANLP 2000»
13 years 5 months ago
A Compact Architecture for Dialogue Management Based on Scripts and Meta-Outputs
Manny Rayner, Beth Ann Hockey, Frankie James
ANLP
2000
97views more  ANLP 2000»
13 years 5 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
ANLP
2000
110views more  ANLP 2000»
13 years 5 months ago
An Automatic Reviser: The TransCheck System
Over the past decade or so, a lot of work in computational linguistics has been directed at finding ways to exploit the ever increasing volume of electronic bilingual corpora. The...
Jean-Marc Jutras
ANLP
2000
47views more  ANLP 2000»
13 years 5 months ago
Ranking suspected answers to natural language questions using predictive annotation
Dragomir R. Radev, John M. Prager, Valerie Samn
ANLP
2000
61views more  ANLP 2000»
13 years 5 months ago
Word-for-Word Glossing with Contextually Similar Words
Many corpus-based machine translation systems require parallel corpora. In this paper, we present a word-for-word glossing algorithm that requires only a source language corpus. T...
Patrick Pantel, Dekang Lin