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A lightweight dependency analyzer for partial parsing
| Content Provider | Scilit |
|---|---|
| Author | Srinivas, Bangalore |
| Copyright Year | 2000 |
| Description | In this paper, we present a novel approach to partial parsing that produces dependency links between words of a sentence. The partial parser called a lightweight dependency analyzer uses information encoded in supertags and hence can produce constituency-based as well as dependency-based analyses. The lightweight dependency analyzer has been used for text chunking, including noun and verb group chunking. We also present a proposal for a general framework for parser evaluation that is applicable for evaluating both constituency-based and dependency-based, partial and complete parsers. The performance results of the lightweight dependency analyzer on Wall Street Journal and Brown corpus using the proposed evaluation metrics are discussed. |
| Related Links | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/D14C32F3D32203FF3BF0A1BC28E58BB9/S1351324900002345a.pdf/div-class-title-a-lightweight-dependency-analyzer-for-partial-parsing-div.pdf |
| Ending Page | 138 |
| Page Count | 26 |
| Starting Page | 113 |
| ISSN | 13513249 |
| e-ISSN | 14698110 |
| DOI | 10.1017/s1351324900002345 |
| Journal | Natural Language Engineering |
| Issue Number | 2 |
| Volume Number | 6 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2000-06-01 |
| Access Restriction | Open |
| Subject Keyword | Natural Language Engineering Information Systems Wall Street Journal Partial Parsing Dependency Link Complete Parsers based Analysis Brown Corpus Partial Parser Parser Evaluation Lightweight Dependency Analyzer Proposed Evaluation Metrics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Linguistics and Language Software |
