Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses (Q8451): Difference between revisions
From LexBib
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(Removed claim: LexBib v2 legacy ID (P1): Q2936) |
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Property / LexBib v2 legacy ID | |||
Property / LexBib v2 legacy ID: Q2936 / rank | |||
Property / contains term: classifier / qualifier | |||
Property / contains term | |||
Property / contains term: example sentence / rank | |||
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Property / contains term: example sentence / qualifier | |||
Property / contains term | |||
Property / contains term: lemma / rank | |||
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Property / contains term: lemma / qualifier | |||
Property / contains term | |||
Property / contains term: collocation / rank | |||
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Property / contains term: collocation / qualifier | |||
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Property / contains term: word sense disambiguation / rank | |||
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Property / contains term: word sense disambiguation / qualifier | |||
Latest revision as of 19:10, 23 August 2023
Publication by Geyken, Pölitz & Bartz (2015)
Language | Label | Description | Also known as |
---|---|---|---|
English | Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses |
Publication by Geyken, Pölitz & Bartz (2015) |
Statements
304-314
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no value
Trojina, Institute for Applied Slovene Studies; Lexical Computing Ltd.
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Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses (English)
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2015
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1
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Alexander Geyken
Alexander
Geyken
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Christian Pölitz
Christian
Pölitz
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Thomas Bartz
Thomas
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