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🧪TextLabs 🧪TextLabs Simulation-based Natural Language Understanding for Scientific Procedural Texts About We are a group of researchers at Hebrew University of Jerusalem , Georgia Tech , the Allen Institute for Artificial Intelligence & Ohio State University . The TextLabs project targets natural language understanding (NLU) of complex scientific procedural texts ("recipes" for performing experiments). This page hosts project resources, such as links to publications, models, code and data. On the NLU side, experimental procedures typically feature dense, technical and under-specified language, making them a particularly tough nut to crack for current state-of-the-art-systems. On the application side, there is rapidly growing interest in automated execution of experimental protocols , to address serious reproduceability issues across many fields, such as chemistry, biology and materials science. Current procedural datasets serve primarily for text-mining applications...
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