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...
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...
—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...
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...
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...