Abstract
Finding simple, non-recursive, base noun phrase is an important step for many natural language processing applications. This paper presents a new approach using decision tree for that purpose. In contrast to previous method for Base NP identification, we adopt a decision tree trained from Penn Treebank to identify Base NP. And a self-learning mechanism is further integrated into our model. Experimental results show good performances using our method. The method can also be applied to processing of any other language.
| Original language | English |
|---|---|
| Pages (from-to) | 383-386 |
| Number of pages | 4 |
| Journal | Journal of Harbin Institute of Technology (New Series) |
| Volume | 8 |
| Issue number | 4 |
| State | Published - Dec 2001 |
| Externally published | Yes |
Keywords
- Base NP
- Corpus
- Decision tree
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