Mixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing
<|reference_start|>Mixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing: A system is described that uses a mixed-level knowledge representation based on standard Horn Clause Logic to represent (part of) the meaning of natural language documents. A variable-depth search strategy is outlined that distinguishes between the different levels of abstraction in the knowledge representation to locate specific passages in the documents. A detailed description of the linguistic aspects of the system is given. Mixed-level representations as well as variable-depth search strategies are applicable in fields outside that of NLP.<|reference_end|>
@article{hess1999mixed-level,
    title={Mixed-Level Knowledge Representation and Variable-Depth Inference in
  Natural Language Processing},
    author={Michael Hess},
    journal={International Journal on Artificial Intelligence Tools (IJAIT),
  vol 6, no 4, 1997. 481-509},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9912017},
    primaryClass={cs.CL}
}