Learning from Parsed Sentences with INTHELEX
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Summary
A preliminary experimentation proved that the logic approach to learning from language is able to capture the semantics underlying the kind of sentences that were processed, even if a comparison with classical methods as regards efficiency has still to be done.
- Type
- article
- Published
- 2000-09-13
- Cited by
- 17
- References
- 8
- Access
- Open access
- OpenAlex
- https://openalex.org/W2064577919
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:552739
Keywords
Computer science, Natural language processing, Parsing, Artificial intelligence, Preprocessor
References
- Learning Language in Logic
- Learning for Text Categorization and Information Extraction with ILP
- Learning for Semantic Interpretation: Scaling Up without Dumbing Down
- Adding machine learning and knowledge intensive techniques to a digital library service
- An adaptive visual environment for digital libraries
- I N T E R N at I O N a L J O U R N a L O N Digital Libraries an Adaptive Visual Environment for Digital Libraries
- Machine Learning for Information Extraction
- I N T E R N at I O N a L J O U R N a L O N Digital Libraries Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service
- Natural Language Processing and Digital Libraries
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- Learning Object Model from Product Web Pages
- Ontology Learning from Text: Tasks and Challenges for Machine Learning
- Machine Learning for Information Extraction
- Extract Refine ^ c Prune Import / Reuse
- The Semantic Web : A Brain for Humankind
- Ontology Learning
- Learning Ontologies for the Semantic Web
- Unsupervised graph-based relation extraction and validation for knowledge base population
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