Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora
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Summary
A program that disambiguates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories, enabling training on unrestricted monolingual text without human intervention.
- Type
- article
- Published
- 1992-08-23
- Cited by
- 843
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W2040004971
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1693468
Keywords
Computer science, Natural language processing, Artificial intelligence, Thesaurus, Lexicon
References
- Knowledge Resource Tools for Accessing Large Text Files
- Collins English dictionary
- Collins COBUILD English Language Dictionary
- Automatic text processing
- Parsing and comprehending with word experts (a theory and its realization)
- Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone
- Automatic Translation of Languages
- A method for disambiguating word senses in a large corpus
- Disambiguation by short contexts
- An Experiment in Computational Discrimination of English Word Senses
- Automatic Translation of Languages
- Machine translation of languages
- A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text
- Learning to disambiguate
- Introduction to WordNet: An On-line Lexical Database
- Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
- Subject-Dependent Co-Occurence and Word Sense Disambiguation
- Class-Based n-gram Models of Natural Language
- Word-Sense Disambiguation Using Statistical Methods
- Two Languages Are More Informative Than One
Cited by
- Word Sense Disambiguation using Statistical Models and WordNet
- Towards high-performance word sense disambiguation by combining rich linguistic knowledge and machine learning approaches
- An Experiment in Semantic Tagging using Hidden Markov Model Tagging
- Automatic Adaptation of WordNet to Sublanguages and to Computational Tasks
- Apprentissage d'un ensemble pré-structuré de concepts d'un domaine : L'outil galex
- Towards a Bootstrapping Framework for Corpus Semantic Tagging
- Word Sense Disambiguation and Human Intuition for Semantic Classification on Homonyms
- Using UMLS lexical resources to disambiguate abbreviations in clinical text.
- Determining Word Sense Dominance Using a Thesaurus
- Modélisation de l'Hyperonymie via la Combinaison de Réseaux Sémantiques et de Vecteurs Conceptuels
- Conserving Fuel in Statistical Language Learning: Predicting Data Requirements
- Ontology Construction and Its Application to Disambiguate Word Senses
- English Word Selection for Japanese Nouns using Semantic Usage
- Statistical Models for Deep-structure Disambiguation
- Automatic ambiguity detection
- Sense Tagging and Language Engineering
- An Overview of Corpus-Based Statistics-Oriented (CBSO) Techniques for Natural Language Processing
- A Semi-supervised Approach for Improving Search, Navigation and Data Quality in Autonomous Digital Libraries
- Corpora based Approach for Arabic/English Word Translation Disambiguation
- A Perspective on Word Sense Disambiguation Methods and Their Evaluation
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