A bibliographical study of grammatical inference

By Colin de la Higuera. Pattern Recognition, 2005

309 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/5df1a9f99282d0ecc4823cf4de09a0dc296c7759

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shay B. Cohen
2. Noah A. Smith
3. Y. Seginer
4. Mohit Bansal
5. Yejin Choi
6. Mirella Lapata
7. Graham Neubig
8. Luke S. Zettlemoyer

In Computational Theory and Mathematics

1. Noah A. Smith
2. Y. Seginer
3. Shay B. Cohen

Citations in the corpus

• Dimensions in program synthesis (2010, unknown): “[14].”
• A syntactic approach to robot imitation learning using probabilistic activity grammars (2013, unknown): “computational biology and speech recognition, please refer to [24].”
• Learning syntactic structure (2007, background): “Several surveys of these results are available (Lee 1996; Sakakibara 1997; de la Higuera 2005).”
• Covariance in Unsupervised Learning of Probabilistic Grammars (2010, methodology): “The field of grammatical inference also includes algorithms and methods for learning thestructure of a (formal) language generator or grammar (Angluin, 1988; de la Higuera, 2005; Clark and Thollard, 2004; Clark et al., 2008,inter alia).”