Hybrid Semantic Analysis System — ATIS Data Evaluation
In this article we show a novel method of semantic parsing. The method deals with two main issues. First, it is developed to be reliable and easy to use. It uses a simple tree-based semantic annotation and it learns from data. Second, it is designed to be used in practical applications by incorporating a method for data formalization into the system. The system uses a novel parser that extends a general probabilistic context-free parser by using context for better probability estimation. The semantic parser was originally developed for Czech data and for written questions. In this article we show an evaluation of the method on a very different domain - ATIS corpus. The achieved results are very encouraging considering the difficulties connected with the ATIS corpus.
semantic analysis semantic parsing spoken language understanding ATIS
Ivan Habernal Miloslav Konopik
University of West Bohemia, Department of Computer Sciences,Univerzitni 22, CZ - 306 14 Plzen, Czech Republic
国际会议
6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)
重庆
英文
376-386
2010-11-19（万方平台首次上网日期，不代表论文的发表时间）