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Cited by 171

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Recognizing subjectivity: a case study in manual tagging

BRUCE, REBECCA F., WIEBE, JANYCE M.·1999·Natural Language Engineering

Abstract

In this paper, we describe a case study of a sentence-level categorization in which tagging instructions are developed and used by four judges to classify clauses from the Wall Street Journal as either subjective or objective. Agreement among the four judges is analyzed, and based on that analysis, each clause is given a final classification. To provide empirical support for the classifications, correlations are assessed in the data between the subjective category and a basic semantic class posited by Quirk, Greenbaum, Leech and Svartvik (1985).

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Metadata

Authors
BRUCE, R. F., & WIEBE, J. M.
Venue
Natural Language Engineering
Published
1999-06
Volume
5
Issue
2
Pages
187-205
ISSN
  • 1351-3249 (ISSN-L)
  • 1469-8110
OpenAlex
W2128669672
Cited by
171
References
2
FWCI
2.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recognizing subjectivity: a case study in manual tagging. https://app.cochat.ai/papers/10.1017/s1351324999002181
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BRUCE, R. F., & WIEBE, J. M. (1999). Recognizing subjectivity: a case study in manual tagging. Natural Language Engineering. https://doi.org/10.1017/s1351324999002181

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.