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Inducing the contextual and prior polarity of nouns from the induced polarity preference of verbs

Date

Date

Date
2014
Journal Article
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Klenner, M., & Petrakis, S. (2014). Inducing the contextual and prior polarity of nouns from the induced polarity preference of verbs. Data & Knowledge Engineering, 90, 13–21. https://doi.org/10.1016/j.datak.2013.09.002

Abstract

Abstract

Abstract

The current endeavour focuses on the notion of positive versus negative polarity preferences of verbs for their direct objects. We observed verbs with a relatively clear positive or negative polarity preference (called polar), as well as cases of verbs where positive and negative polarity preference is balanced (called bi-polar). These polarity preferences of verbs are induced on the basis of a large dependency-parsed corpus by means of statistical measures and a lexicon of manually curated prior noun polarities. Given (learned) polar

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170 since deposited on 2013-12-02
169last week
Acq. date: 2025-11-13

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Creators (Authors)

  • Klenner, Manfred
    affiliation.icon.alt
  • Petrakis, Stefanos
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
90

Page range/Item number

Page range/Item number

Page range/Item number
13

Page end

Page end

Page end
21

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2014

Date available

Date available

Date available
2013-12-02

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Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0169-023X

OA Status

OA Status

OA Status
Closed

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Metrics

Views

170 since deposited on 2013-12-02
169last week
Acq. date: 2025-11-13

Citations

Citation copied

Klenner, M., & Petrakis, S. (2014). Inducing the contextual and prior polarity of nouns from the induced polarity preference of verbs. Data & Knowledge Engineering, 90, 13–21. https://doi.org/10.1016/j.datak.2013.09.002

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