This paper presents a semantic labeling technique based on information encoded in FrameNet. Sentences labeled for frames relevant to any new Information Extraction domain enable t...
Alessandro Moschitti, Paul Morarescu, Sanda M. Har...
We present an error-detection and -correction approach for spreadsheets that automatically generates questions about input/output pairs and, depending on the feedback given by the...
Abstract. We present a declarative language inspired by the pseudonatural language used in Matita for the explanation of proof terms. We show how to compile the language to proof t...
We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the automatically parsed data used for self-training gives h...
Traditional methods of assessing chemical toxicity of various compounds require tests on animals, which raises ethical concerns and is expensive. Current legislation may lead to a...