Distributional Semantics Theory
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A Distributional Semantics Theory is a lexical semantics theory that is based on a corpus statistics/distributional statistics.
- Context:
- It can range from being a Distributional Words Semantic Theory to being a Distributional Phrase Semantic Theory to being a Distributional Sentence Semantic Theory to being a Distributional Passage Semantic Theory to being a Distributional Document Semantic Theory.
- It can be referenced by a Distributional Semantics Model (created by a distributional semantics model creation task).
- Example(s):
- See: Textual Semantics, Shallow Semantic Processing, Semantics, Harris' Distributional Hypothesis.
References
2016
- (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Distributional_semantics Retrieved:2016-5-13.
- Distributional semantics is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties in large samples of language data. The basic idea of distributional semantics can be summed up in the so-called Distributional hypothesis: linguistic items with similar distributions have similar meanings.
2014
- (Gärdenfors, 2014) ⇒ Peter Gärdenfors. (2014). “The Geometry of Meaning: Semantics based on conceptual spaces." MIT Press. ISBN:0262026783
2010
- (Widdows & Cohen, 2010) ⇒ Dominic Widdows, and Trevor Cohen. (2010). “The Semantic Vectors Package: New Algorithms and Public Tools for Distributional Semantics.” In: Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing. ISBN:978-0-7695-4154-9 doi:10.1109/ICSC.2010.94
- QUOTE: Distributional semantics is the branch of natural language processing that attempts to model the meanings of words, phrases and documents from the distribution and usage of words in a corpus of text. In the past three years, research in this area has been accelerated by the availability of the Semantic Vectors package, a stable, fast, scalable, and free software package for creating and exploring concepts in distributional models.
2004
- (Widdows, 2004) ⇒ Dominic Widdows. (2004). “Geometry and Meaning." Center for the Study of Language and Information. ISBN:1575864487
2002
- (Alfonseca & Manandhar, 2002) ⇒ Enrique Alfonseca, and Suresh Manandhar. (2002). “Extending a Lexical Ontology by a Combination of Distributional Semantics Signatures.” In: Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web.