Word sense disambiguation for free-text indexing using a massive semantic network
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Summary
This work investigates using the massive Word Net semantic network for disambiguation during document indexing to improve precision and improvement in disamblguation compared with chance.
- Type
- article
- Published
- 1993-12-01
- Cited by
- 449
- References
- 12
- OpenAlex
- https://openalex.org/W2056105869
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17299699
Keywords
Computer science, Search engine indexing, Semantics (computer science), Word (group theory), Natural language processing
References
- Implementation of the SMART Information Retrieval System
- Introduction to Modern Information Retrieval
- Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone
- A Model of Knowledge Based Information Retrieval with Hierarchical Concept Graph
- Nouns in WordNet: A Lexical Inheritance System
- Features of Similarity
- Development and application of a metric on semantic nets
- Lexical ambiguity and information retrieval
- Introduction to WordNet: An On-line Lexical Database
Cited by
- Towards high-performance word sense disambiguation by combining rich linguistic knowledge and machine learning approaches
- Corpus-based identification and refinement of semantic classes
- Using UMLS lexical resources to disambiguate abbreviations in clinical text.
- The Use of WordNet Sense Tagging in FAQFinder
- Robust statistical techniques for the categorization of images using associated text
- SemCaDo: une approche pour la découverte de connaissances fortuites et l'évolution ontologique. (SemCaDo: an approach for serendipitous causal discovery and ontology evolution)
- CONCEPTUAL DISTANCE AND AUTOMATIC SPELLING CORRECTION
- Thésaurus et systèmes de traitement automatique de la langue
- Acquisition automatique de sens pour la désambiguïsation et la sélection lexicale en traduction
- Automatic Multimedia Knowledge Discovery, Summarization and Evaluation
- Refining the Notions of Depth and Density in WordNet-based Semantic Similarity Measures
- DURHAM : a word sense disambiguation system
- Automatic Extraction of Key Sentences via Word Sense Identification for Chinese Text Summarization
- Word Sense Disambiguation based on Semantic Density
- Multimedia Knowledge Integration, Summarization And Evaluation
- Word Sense Induction in the Arabic Language: A Self-Term Expansion Based Approach
- Predicting the N400 Component in Manipulated and Unchanged Texts with a Semantic Probability Model
- Word Sense Disambiguation by Information Filtering and Extraction
- Large Scale WSD Using Learning Applied to SENSEVAL
- Assessing semantic similarity among spatial entity classes
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