Abstract
We describe an online learning dependency parser for the CoNLL-X Shared Task, based on the bottom-up projective algorithm of Eisner (2000). We experiment with a large feature set that models: the tokens involved in dependencies and their immediate context, the surfacetext distance between tokens, and the syntactic context dominated by each dependency. In experiments, the treatment of multilingual information was totally blind.
Original language | English (US) |
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DOIs | |
State | Published - 2006 |
Externally published | Yes |
Event | 10th Conference on Computational Natural Language Learning, CoNLL-X - New York, NY, United States Duration: Jun 8 2006 → Jun 9 2006 |
Conference
Conference | 10th Conference on Computational Natural Language Learning, CoNLL-X |
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Country/Territory | United States |
City | New York, NY |
Period | 6/8/06 → 6/9/06 |
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Linguistics and Language