Paper: Information Extraction And Semantic Constraints

ACL ID C90-3071
Title Information Extraction And Semantic Constraints
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1990
Authors

We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints whenever possi- ble; however, we cannot expect to have semantic patterns for all the input we may encounter in real texts. We therefore use preference semantics: selecting the analysis which maximizes the number of semantic patterns matched. We describe a specific information extraction task, and report on the benefits of using preference semantics for this task. Task and Approach Information extraction is the task of extracting specified types of intonnation from a natural language text -- for example, information about specific classes of events. Typically, however, the text to he processed will contain many typ...