The Word-Space Model: using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces
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Summary
The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terabytes of data.
- Type
- dissertation
- Published
- 2006-01-01
- Cited by
- 603
- References
- 112
- Access
- Open access
- OpenAlex
- https://openalex.org/W1836521361
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11917163
Keywords
Syntagmatic analysis, Word (group theory), Distributional semantics, Natural language processing, Artificial intelligence
References
- A Design Rationale for Pervasive Computing: User Experience, Contextual Change and Technical Requirements
- Incremental Construction of an Associative Network from a Corpus
- Lexical ambiguity resolution
- Weight functions impact on LSA performance
- Finding Semantic Similarity in Raw Text: the Deese Antonyms
- Automatic Bilingual Lexicon Acquisition Using Random Indexing of Aligned Bilingual Data
- Towards pertinent evaluation methodologies for word-space models
- Designs and Analyses in Structured Peer-To-Peer Systems
- An Introduction to Random Indexing
- Network capacity sharing with QoS as a financial derivative pricing problem : algorithms and network
- Simple, proven approaches to text retrieval
- LSI meets TREC: A Status Report
- Improving computer communication performance by reducing memory bandwidth consumption
- Mathematical structures of language
- Rules for Syntax, Vectors for Semantics
- Book Reviews: Geometry and Meaning, by Dominic Widdows
- An Automatic Partial Evaluator for Full Prolog
- Sparse Distributed Memory
- Random indexing of text samples for latent semantic analysis
- Foundations of real-world intelligence
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- SUBJECTIVITY WORD SENSE DISAMBIGUATION: A METHOD FOR SENSE-AWARE SUBJECTIVITY ANALYSIS
- Enhancing extraction based summarization with outside word space
- UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
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- The Distributional Hypothesis
- Concepts and properties in word spaces
- Predicting the N400 Component in Manipulated and Unchanged Texts with a Semantic Probability Model
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