Using multiple clause constructors in inductive logic programming for semantic parsing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2167, Issue , 2001, Pages 466-477

  Tang, Lappoon R ^a   Mooney, Raymond J ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; MACHINE LEARNING; SEMANTICS;

DIFFERENT DOMAINS; LARGE AMOUNTS; LEARNING APPROACH; LEARNING METHODS; SEMANTIC PARSING;

INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 84948146828     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44795-4_40     Document Type: Conference Paper

References (15)

1. John M. Zelle and Raymond J. Mooney: Learning to Parse Database Queries Using Inductive Logic Programming. Proceedings of the Thirteenth National Conference on Artificial Intelligence (1996) 1050-1055
2. J. Ross Quinlan: Learning Logical Definitions from Relations. Machine Learning 5 (1990) 239-266
3. John M. Zelle and Raymond J. Mooney: Combining Top-Down and Bottom-Up Methods in Inductive Logic Programming. Proceedings of the Eleventh International Conference on Machine Learning (1994) 343-351
4. Boonserm Kijsirikul and Masayuki Numao and Masamichi Shimura: Discrimination-Based Constructive Induction of Logic Programs. Proceedings of the Tenth National Conference on Artificial Intelligence (1992) 44-49
5. Bojan Cestnik: Estimating probabilities: A crucial task in machine learning. Pro-ceedings of the Ninth European Conference on Artificial Intelligence (1990) 147-149
6. Jorma Rissanen: Modeling by Shortest Data Description. Automatica 14 (1978) 465-471
7. Ashwin Srinivasan, Stephen Muggleton, Michael Bain: The Justićation of Logical Theories based on Data Compression. Machine Intelligence 13 (1994) 87-121
8. Stephen Muggleton and W. Buntine: Machine Invention of First-order Predicates by Inverting Resolution. Proceedings of the Fifth International Conference on Machine Learning (1988) 339-352
9. G. G. Hendrix and E. Sacerdoti and D. Sagalowicz and J. Slocum: Developing a Natural Language Interface to Complex Data. ACM Transactions on Database Systems 3 (1978) 105-147
10. Scott Miller and David Stallard and Robert Bobrow and Richard Schwartz: A Fully Statistical Approach to Natural Language Interfaces. Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (1996) 55-61
11. Roland Kuhn and Renato De Mori: The Application of Semantic Classification Trees to Natural Language Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (1995) 449-460
12. Cynthia A. Thompson and Raymond J. Mooney: Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces. Proceedings of the Sixteenth National Conference on Artificial Intelligence (1999) 487-493
13. Mary Elaine Califi and Raymond J. Mooney: Relational Learning of Pattern-Match Rules for Information Extraction. Proceedings of the Sixteenth National Conference on Artificial Intelligence (1999) 328-334
14. S. Muggleton, A. Srinivasan, and M. Bain: Compression, signićance and accuracy. Proceedings of the Ninth International Machine Learning Conference (1992) 338-347
15. Attilio Giordana, Filippo Neri, Lorenza Saitta, and Marco Botta: Integrating Mul-tiple Learning Strategies in First Order Logics. Machine Learning 27(3): 209-240 (1997)