Memory-Based Shallow Parsing

Details Memory-Based Shallow Parsing Memory-Based Shallow Parsing

2002-04-24

arxiv.org/abs/cs/0204049v1

Journal of Machine Learning Research, volume 2 (March), 2002, pp. 559-594

Computer Science

Computation and Language

Scientific paper

We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods for improving the performance of the memory-based learner. Our approach is evaluated on standard data sets and the results are compared with that of other systems. This reveals that our approach works well for base phrase identification while its application towards recognizing embedded structures leaves some room for improvement.

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