Linguistic Knowledge can Improve Information Retrieval
2000
This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language processing and knowledge representation with a penalty-based technique for relevance estimation and passage retrieval. Unlike many attempts to combine natural language processing with information retrieval, these results show substantial benefit from using linguistic knowledge.
Keywords:
- Human–computer information retrieval
- Term Discrimination
- Question answering
- Relevance (information retrieval)
- Linguistics
- Information retrieval
- Universal Networking Language
- Cognitive models of information retrieval
- Natural language processing
- Deep linguistic processing
- Concept search
- Computer science
- Artificial intelligence
- Information extraction
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
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