A Joint Model for Extended Semantic Role Labeling

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How researchers see this paper

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Parsing Algebraic Word Problems into Equations (2015, methodology): “…discriminative models trained from a small number of word problems and their solutions – without any manual annotation; and (3) We demonstrate empirically that ALGES has broader scope than the system of Hosseini et al. (2014), and overcomes the brittleness of the method of Kushman et al. (2014).”
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions (2016, methodology): “We use the ILP formalism, which has been successful in several NLP tasks (Roth and Yih 2004; Srikumar and Roth 2011; Zhang, Hoffmann, and Weld 2012) but, to our knowledge, has not been applied directly to question-answering using semi-structured knowledge.”
Question Answering via Integer Programming over Semi-Structured Knowledge (2016, methodology): “ILP based discrete optimization has been successful in several NLP tasks [ Roth and Yih, 2004; Chang et al. , 2010; Berant et al. , 2010; Srikumar and Roth, 2011; Goldwasser and Roth, 2011 ] .”
Question Answering as Global Reasoning Over Semantic Abstractions (2018, background): “Search-based reasoning systems have been successful in several NLP areas (Roth and Yih 2004; Chang et al. 2010; Berant, Dagan, and Goldberger 2010; Srikumar and Roth 2011; Goldwasser and Roth 2011; Schüller 2014; Fei et al. 2015).”