Automatic Inference of DATR Theories
<|reference_start|>Automatic Inference of DATR Theories: This paper presents an approach for the automatic acquisition of linguistic knowledge from unstructured data. The acquired knowledge is represented in the lexical knowledge representation language DATR. A set of transformation rules that establish inheritance relationships and a default-inference algorithm make up the basis components of the system. Since the overall approach is not restricted to a special domain, the heuristic inference strategy uses criteria to evaluate the quality of a DATR theory, where different domains may require different criteria. The system is applied to the linguistic learning task of German noun inflection.<|reference_end|>
@article{barg1996automatic,
    title={Automatic Inference of DATR Theories},
    author={Petra Barg (University of Duesseldorf)},
    journal={arXiv preprint arXiv:cmp-lg/9601001},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9601001},
    primaryClass={cmp-lg cs.CL}
}