Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm
<|reference_start|>Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm: This paper presents a method for large corpus analysis to semantically classify an entire clause. In particular, we use cooccurrence statistics among similar clauses to determine the aspectual class of an input clause. The process examines linguistic features of clauses that are relevant to aspectual classification. A genetic algorithm determines what combinations of linguistic features to use for this task.<|reference_end|>
@article{siegel1996gathering,
    title={Gathering Statistics to Aspectually Classify Sentences with a Genetic
  Algorithm},
    author={Eric V. Siegel and Kathleen R. McKeown (Columbia University)},
    journal={arXiv preprint arXiv:cmp-lg/9610002},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9610002},
    primaryClass={cmp-lg cs.CL}
}