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Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)
Code for RSS2018 paper on the Grounded Semantic Mapping Network
Tools for downloading and analyzing summaries and evaluating summarization systems. https://summari.es/
Cornell Semantic Parsing Framework
Contains various short notebooks showing how to use DyNet. Created for CS 5740 at Cornell University.
Cornell House Agent Learning Environment
Cornell NLVR is a natural language grounding dataset with 92K examples. Each example shows an image and a sentence describing it, and is annotated with the truth-value of the sentence.
Navigation data used for Chen and Mooney 2011 and Artzi and Zettlemoyer 2013 (including cleaned up oracle data)
Code for Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions (Artzi and Zettlemoyer, TACL 2013)
Neural Shift Reduce Parser for CCG Semantic Parsing (Misra and Artzi, EMNLP 2016)
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)