The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text

By Richárd Farkas, V. Vincze, György Móra, J. Csirik, György Szarvas. CoNLL Shared Task, 2010

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Fact Checking: Task definition and dataset construction (2014, methodology): “Statement extraction could be tackled as a sentence classification problem, following approaches similar to those proposed for speculation detection (Farkas et al., 2010) and veridicality assessment (de Marneffe et al.”
Argumentation Mining in User-Generated Web Discourse (2016, background): “”), or weasel20 phrases (Farkas et al. 2010) (“In some cases, inclusion can work fantastically well.”
Sentiment Analysis: An Overview from Linguistics (2016, unknown): “Examples of cues are: adjectives and adverbs (probable, likely, possible); modal verbs (may, might, could); verbs of speculation (suggest, suspect, suppose, seem); and a range of multiword cues (no evidence/proof that, raise the possibility/question, whether or not) (Farkas et al 2010).”