The definitional power of words
Branimir Boguraev · 1987
ss in both the practical aspects of natural language processing (various techniques for e.g., performing text analysis or building and customising natural language interfaces) and the theoretical issues of knowledge representation and access. It would not be too provocative to state that the current understanding of how to go about building practical systems is sufficient to make such a task tractable. However, realistic natural language processing programs fall in the general class of knowledge-based systems in AI, and they all require significant amounts of structured knowledge about the real world, as well as about a particular domain of discourse. There are typically two problems here, one related to the scaling up of a prototype by expanding its knowledge base and the other related to the activity of transporting or customising an existing system. In both cases the real culprit is the knowledge acquisition bottleneck. Given the availability online of suitable machine readable res