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Attributions and Private States

Attributions and Private States. Jan Wiebe (U. Pittsburgh) Theresa Wilson (U. Pittsburgh) Claire Cardie (Cornell U.). Terminology. Private states : opinions, emotions, evaluations, speculations, etc.

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Attributions and Private States

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  1. Attributions and Private States Jan Wiebe (U. Pittsburgh) Theresa Wilson (U. Pittsburgh) Claire Cardie (Cornell U.)

  2. Terminology • Private states: opinions, emotions, evaluations, speculations, etc. • States not open to objective observation or verification: “a person may be observed to assert that God exists, but not to believe that God exists. Belief is this sense ‘private’”[Quirk etal. 1985] • Following literary theorists such as Banfield (1982): we use the term subjectivity for linguistic expressions of private states

  3. “The U.S. fears a spill-over,” said Xirao-Nima. “The report is full of absurdities,” Xirao-Nima said. Objective speech event source: <writer> implicit: true Objective speech event source: <writer> implicit: true Objective speech event text anchor: said source: <writer,nima> Direct subjective text anchor: said source: <writer,nima> intensity: high expression intensity: neutral attitude: negative target: the report Direct subjective text anchor: fears source: <writer,nima,US> intensity: medium expression intensity: medium Expressive subjective element text anchor: full of absurdities source: <writer,nima> intensity: high

  4. MPQA Opinion Corpus • English language versions of articles from theworld press. 187 news sources. • 708 docs 15,644 sentences • [385 docs expression level polarity] • nrrc.mitre.org/NRRC/publications.htm • Est. 415 hours to annotate 100K words • Text anchor agreement: 72-82% • Subjective/objective agreement: .77-.89 Kappa [Wilson & Wiebe SIGdial-03; Wilson, Wiebe, Hwa AAAI-04] [Wiebe, Wilson, Cardie LRE 1(2) 2005]

  5. Recent Extensions I think people are happy because Chavez has fallen. explicit private state span: think source: <writer, I> attitude: explicit private state span: are happy source: <writer, I, People> attitude: attitude span: think type: positive arguing intensity: medium target: attitude span: are happy type: positive attitude intensity: medium target: inferred attitude span: are happy because Chavez has fallen type: negative attitude intensity: medium target: target span: people are happy because Chavez has fallen target span: Chavez has fallen target span: Chavez

  6. Applications • Multi-perspective QA • Information extraction • Tracking attitudes toward topics and events • Classifying reviews • Analyzing product reputations • Recognizing hostile messages [Acknowledgments: Northeast Regional Research Center; ARDA AQUAINT; NSF]

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