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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinglei Zhao Hui Liu Yanbo Gao Ruzhan Lu |
| Copyright Year | 2007 |
| Description | Author affiliation: Shanghai Jiao Tong Univ., Shanghai (Jinglei Zhao; Hui Liu; Yanbo Gao; Ruzhan Lu) |
| Abstract | The interpretation of nominal compounds is one of the most difficult problems in natural language processing. This paper proposes a new model for the automatic classification of four coarse-grained semantic relations involved in Chinese compound nominalizations. In such a model, for a compound nominalization, its paraphrased syntactic role occurrences (PSRO) in a treebank are exploited to form feature vectors for supervised classifiers. To solve the problem of data sparseness, the World Wide Web is used to discover relational clusters and such clusters are employed to produce smoothed PSRO feature vectors for the compound nominalizations. The experimental results show that such a method is very effective. |
| Starting Page | 2146 |
| Ending Page | 2151 |
| File Size | 204430 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769530389 |
| DOI | 10.1109/ICCIT.2007.11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Smoothing methods Satellite navigation systems Magnetic heads Natural language processing Web sites Labeling Statistics Information technology Classification tree analysis |
| Content Type | Text |
| Resource Type | Article |
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