Extending corpus-based identification of light verb constructions using a supervised learning framework
| dc.contributor.author | TAN, Yee Fan | en_US |
| dc.contributor.author | KAN, Min-Yen | en_US |
| dc.contributor.author | CUI, Hang | en_US |
| dc.date.accessioned | 2005-08-19T02:32:51Z | en_US |
| dc.date.accessioned | 2017-01-23T06:59:35Z | |
| dc.date.available | 2005-08-19T02:32:51Z | en_US |
| dc.date.available | 2017-01-23T06:59:35Z | |
| dc.date.issued | 2005-08-19T02:32:51Z | en_US |
| dc.description.abstract | Light verb constructions (LVC) such as "make a call" and "give a presentation" pose challenges for natural language processing and understanding. We propose corpus-based methods to automatically identify LVCs. We extend existing corpus-based measures for identifying LVCs among verb-object pairs, using new features that use mutual information and assess the influence of other words in the context of a candidate verb-object pair, such as nouns and prepositions. To our knowledge, our work is the first to incorporate both existing and new LVC features into a unified machine learning approach. We experimentally demonstrate the superior performance of our framework and the effectiveness of the newlyproposed features. | en_US |
| dc.format.extent | 720227 bytes | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.uri | https://dl.comp.nus.edu.sg/xmlui/handle/1900.100/1850 | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | TRB8/05. | en_US |
| dc.title | Extending corpus-based identification of light verb constructions using a supervised learning framework | en_US |
| dc.type | Technical Report | en_US |