We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. ...
Mark Steedman, Anoop Sarkar, Miles Osborne, Rebecc...
We investigate the effectiveness of selftraining PCFG grammars with latent annotations (PCFG-LA) for parsing languages with different amounts of labeled training data. Compared to...
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
Abstract. For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer sy...
Tae-Gil Noh, Yong-Jin Han, Seong-Bae Park, Se-Youn...
This paper presents CIRCE, an environment for the analysis of natural language requirements. CIRCE is first presented in terms of its architecture, based on a transformational para...