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• W2756539027 abstract "Stance classification is a core component in on-demand argument construction pipelines. Previous work on claim stance classification relied on background knowledge such as manually-composed sentiment lexicons. We show that both accuracy and coverage can be significantly improved through automatic expansion of the initial lexicon. We also developed a set of contextual features that further improves the state-of-the-art for this task." @default.
• W2756539027 created "2017-10-06" @default.
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• W2756539027 date "2017-01-01" @default.
• W2756539027 modified "2023-10-02" @default.
• W2756539027 title "Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization" @default.
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• W2756539027 doi "https://doi.org/10.18653/v1/w17-5104" @default.
• W2756539027 hasPublicationYear "2017" @default.
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