Report Top | Up a Node | Prev | Next | Up a Map | TOC | Node Index | File Index | Page Bottom |
Presentation Map : 1. Introduction | published Wed, Mar 6, 2002 - 21:21 EST |
Introduces Ehrlich's algorithim and sketches an outline of how the algorithim deduces the meaning of unknown words through context and background knowledge. It compares Ehrlich's algorithm to current CVA curriculum strategies taught in the classroom. Here are some of the interesting points:
The two most important factors for both human and artificial entities to deduce meaning of unknown words from context are:
1. The extent of the background knowledge containted by the agent
2. The amount of context that the agent has been exposed to containing this unknown word
Some more goals
- Discuss our representation of a passage with the unknown word "proliferate" and its accompanying background information and propose ways the word's context and background knowledge could lead to a dictionary-like definition.
- Offer modifications to Ehrlich's algorithim so it behaves more like a high school or middle school student confronting an unknown word.
- Contribute the case study of "proliferate" to several human protocols.
Presentation Map : 1. Introduction | published Wed, Mar 6, 2002 - 21:21 EST |
Report Top | Up a Node | Prev | Next | Up a Map | TOC | Node Index | File Index | Page Top |