An improved parser for data-oriented lexical-functional analysis
<|reference_start|>An improved parser for data-oriented lexical-functional analysis: We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi n best search performs about 100 times faster than Monte Carlo search while both achieve the same accuracy; (2) the DOP hypothesis which states that parse accuracy increases with increasing fragment size is confirmed for LFG-DOP; (3) LFG-DOP's relative frequency estimator performs worse than a discounted frequency estimator; and (4) LFG-DOP significantly outperforms Tree-DOP is evaluated on tree structures only.<|reference_end|>
@article{bod2000an,
    title={An improved parser for data-oriented lexical-functional analysis},
    author={Rens Bod},
    journal={Proceedings ACL'2000, Hong Kong},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0009026},
    primaryClass={cs.CL}
}