These are resources related to my past publications.
- The ProcessBank dataset of annotated process structures with questions and answers.
- The WebQuestions dataset of questions and answers. Part of the SEMPRE project
- A state-of-the-art resource of entailment rules between natural language predicates, containing millions of entailment rules. The resource contains a knowledge-base obtained by applying the global algorithm presented in the ACL 2012 paper "Efficient Tree-based Approximation for Entailment Graph Learning", and also a knowledge-base constructed using a local entailment classifier described in my thesis (to be published soon).
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All data required for performing the experiment described in Section 5.1 of the paper: "Global Learning of Typed Entailment Rules"
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A resource of 30,000 entailment rules between typed predicates, as described in the paper: "Global Learning of Typed Entailment Rules"
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Gold standard healthcare graphs described in "Global Learning of Focused Entailment Graphs", ACL 2010, and "Learning Entailment Relations by Global Graph Structure Optimization", CL 38(1).