Question classification with log-linear models

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Machine Comprehension with Discourse Relations (2015, background): “Types 1 and 2 are inspired by prior work in question classification/answering (Blunsom et al., 2006; Jansen et al., 2014).”
Answer Extraction as Sequence Tagging with Tree Edit Distance (2013, methodology): “There is signiﬁcant prior work in building specialized templates or classiﬁers for labeling question types (Hermjakob, 2001; Li and Roth, 2002; Zhang and Lee, 2003; Hacioglu and Ward, 2003; Metzler and Croft, 2005; Blunsom et al., 2006; Moschitti et al., 2007).”
From symbolic to sub-symbolic information in question classification (2011, methodology): “This work 95.0 90.8 Li and Roth (2002) 91.0 84.2 Zhang and Lee (2003) 90.0 80.2 Krishnan et al. (2005) 93.4 86.2 Blunsom et al. (2006) 91.8 86.6 Pan et al. (2008) 94.0 – Huang et al. (2008) 93.6 89.2% 6.3 From symbolic to sub-symbolic information In a third experiment the information provided by…”