Michael Schmitz

Allen Institute for AI
http://www.schmitztech.com/
Publications6
h-index4
Citations1,659
Highly Influential Citations255
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  • Publications
  • Influence
Open Language Learning for Information Extraction
Open Information Extraction (IE) systems extract relational tuples from text, without requiring a pre-specified vocabulary, by identifying relation phrases and associated arguments in arbitrary…
AllenNLP: A Deep Semantic Natural Language Processing Platform
TLDR
AllenNLP is designed to support researchers who want to build novel language understanding models quickly and easily and provides a flexible data API that handles intelligent batching and padding, and a modular and extensible experiment framework that makes doing good science easy.
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
TLDR
Success is reported on the Grade 8 New York Regents Science Exam, where for the first time a system scores more than 90 percent on the exam’s nondiagram, multiple choice (NDMC) questions, demonstrating that modern natural language processing methods can result in mastery on this task.
Programming Idioms for Transactional Events
TLDR
A subtle problem with client-server protocols in TE is solved, and it is argued that CML’s wrap and guard primitives do not translate well to TE, and useful workarounds are suggested.
A Deep Semantic Natural Language Processing Platform
TLDR
AllenNLP is designed to support researchers who want to build novel language understanding models quickly and easily and provides a flexible data API that handles intelligent batching and padding, and a modular and extensible experiment framework that makes doing good science easy.
Open Language Learning for Information Extraction (Author's Manuscript)