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SAC
2003
ACM
13 years 10 months ago
Can a Parser be Generated from Examples?
One of the open problems in the area of domain-specific languages is how to make domain-specific language development easier for domain experts not versed in a programming languag...
Marjan Mernik, Goran Gerlic, Viljem Zumer, Barrett...
CSMR
2007
IEEE
13 years 11 months ago
Example-Driven Reconstruction of Software Models
As software systems evolve, they become more complex and harder to understand and maintain. Certain reverse engineering techniques attempt to reconstruct software models from sour...
Oscar Nierstrasz, Markus Kobel, Tudor Gîrba,...
TNN
1998
92views more  TNN 1998»
13 years 4 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
ACL
1997
13 years 6 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Ulf Hermjakob, Raymond J. Mooney
EMNLP
2010
13 years 2 months ago
What a Parser Can Learn from a Semantic Role Labeler and Vice Versa
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
Stephen A. Boxwell, Dennis Mehay, Chris Brew