Memory-Based Shallow Parsing (1999)
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by
Walter Daelemans
,
Sabine Buchholz
,
Jorn Veenstra
| Venue: | In Proceedings of CoNLL |
| Citations: | 66 - 13 self |
BibTeX
@INPROCEEDINGS{Daelemans99memory-basedshallow,
author = {Walter Daelemans and Sabine Buchholz and Jorn Veenstra},
title = {Memory-Based Shallow Parsing},
booktitle = {In Proceedings of CoNLL},
year = {1999},
pages = {53--60}
}
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Abstract
We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as nemory-based modules. The experiments reported in this paper show competitive results, the Fa= for the Wall Street Journal (WSJ) treebank is: 93.8% for NP chunking, 94.7% for VP chunking, 77.1% fox' subject detection and 79.0% for object detection.
