Memory-Based Shallow Parsing

Details Memory-Based Shallow Parsing Memory-Based Shallow Parsing

1999-06-02

arxiv.org/abs/cs/9906005v1

Computer Science

Computation and Language

8 pages, to appear in: Proceedings of the EACL'99 workshop on Computational Natural Language Learning (CoNLL-99), Bergen, Norw

Scientific paper

We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as memory-based modules. The experiments reported in this paper show competitive results, the F-value for the Wall Street Journal (WSJ) treebank is: 93.8% for NP chunking, 94.7% for VP chunking, 77.1% for subject detection and 79.0% for object detection.

Affiliated with

Also associated with

No associations

Rating

Memory-Based Shallow Parsing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Memory-Based Shallow Parsing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Memory-Based Shallow Parsing will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-561085