Paper: MindNet: acquiring and structuring semantic information from text

ACL ID C98-2175
Title MindNet: acquiring and structuring semantic information from text
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1998
Authors

As a lexical knowledge base constructed automatically from the definitions and example sentences in two machine-readable dictionaries (MRDs), MindNet embodies several features that distinguish it from prior work with MRDs. It is, however, more than this static resource alone. MindNet represents a general methodology for acquiring, structuring, accessing, and exploiting semantic information from natural language text. This