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Alternate ways for knowledge collection, indexing and robust language retrieval.
| Content Provider | CiteSeerX |
|---|---|
| Author | Baud, Robert Lovis, Christian Rassinoux, Anne-Marie Scherrer, Jean-Raoul |
| Abstract | This article brings definitions of the key entities in knowledge representation for Natural Language Processing (NLP). Starting from the words which are the natural components of any sentence, it emphasizes both the role of expressions and the decomposition of words into their parts. This leads to the notion of concepts which are either primitive or composite depending on the model where they are created. The problem of finding the most adequate degree of granularity for concept is studied. From this reflection on basic Natural Language Processing (NLP) components, four categories of linguistic knowledge are recognized. They are thought to be the building blocks of a Medical Linguistic Knowledge Base (MLKB). Pursuing on the track of a recent experience in building a natural language based patient encoding browser, a robust method for conceptual indexing and query of medical texts is presented with particular attention on the scheme of knowledge representation. The problem according to... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Robust Language Retrieval Knowledge Collection Alternate Way Knowledge Representation Adequate Degree Medical Text Basic Natural Language Processing Robust Method Medical Linguistic Knowledge Base Conceptual Indexing Composite Depending Natural Component Recent Experience Particular Attention Natural Language Processing Linguistic Knowledge Key Entity Building Block Natural Language |
| Content Type | Text |
| Resource Type | Article |
