Corpus-based Learning of Analogies and Semantic Relations.
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found in the SAT college entrance exam. A verbal analogy has the form A:B::C:D, meaning ?A is to B as C is to D?; for example,...
| الحاوية / القاعدة: | Machine learning. 60, 1-3 (2005). |
|---|---|
| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| الموضوعات: |