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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Mixed-Level Knowledge Representations and Variable-Depth Inference in Natural Language Processing |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Journal Title | International Journal on Artificial Intelligence Tools (IJAIT) |
| Geographical Reach | international |
| Volume | 6 |
| Number | 4 |
| Page Range | 481 - 509 |
| Date | 1997 |
| Abstract Text | 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. |
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