Paper: Automated Construction Of Database Interfaces: Intergrating Statistical And Relational Learning For Semantic Parsing

ACL ID W00-1317
Title Automated Construction Of Database Interfaces: Intergrating Statistical And Relational Learning For Semantic Parsing
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 2000
Authors

The development of natural language inter- faces (NLI's) for databases has been a chal- lenging problem in natural language process- ing (NLP) since the 1970's. The need for NLI's has become more pronounced due to the widespread access to complex databases now available through the Internet. A challenging problem for empirical NLP is the automated acquisition of NLI's from training examples. We present a method for integrating statisti- cal and relational learning techniques for this task which exploits the strength of both ap- proaches. Experimental results from three dif- ferent domains suggest that such an approach is more robust than a previous purely logic- based approach.