text: 86,10,1224268965154869248,322636963,Jonathan Berant,"New TACL paper involving a lot of hard work from my twitter-less student Tomer, along with great collab. at AI2 and TAU. Paper/website at <LINK> <LINK> @megamor2 @yoavgo @nlpmattg @ankgup2 1/2 <LINK> We define a mean. rep. (QDMR) that decomposes questions to a sequence of steps that can be executed against any context (image, text, DB), crowdsource &gt;80K question-QDMR pairs using questions from 10 existing datasets, show usefulness for RC and release a QDMR parser. Enjoy! 2/2",https://arxiv.org/abs/2001.11770v1,"Understanding natural language questions entails the ability to break down a question into the requisite steps for computing its answer. In this work, we introduce a Question Decomposition Meaning Representation (QDMR) for questions. QDMR constitutes the ordered list of steps, expressed through natural language, that are necessary for answering a question. We develop a crowdsourcing pipeline, showing that quality QDMRs can be annotated at scale, and release the Break dataset, containing over 83K pairs of questions and their QDMRs. We demonstrate the utility of QDMR by showing that (a) it can be used to improve open-domain question answering on the HotpotQA dataset, (b) it can be deterministically converted to a pseudo-SQL formal language, which can alleviate annotation in semantic parsing applications. Last, we use Break to train a sequence-to-sequence model with copying that parses questions into QDMR structures, and show that it substantially outperforms several natural baselines. ",] Break It Down: A Question Understanding Benchmark,2,"['New TACL paper involving a lot of hard work from my twitter-less student Tomer, along with great collab. at AI2 and TAU. Paper/website at <LINK> <LINK>  @megamor2 @yoavgo @nlpmattg @ankgup2 1/2 <LINK>', 'We define a mean. rep. (QDMR) that decomposes questions to a sequence of steps that can be executed against any context (image, text, DB),  crowdsource &gt;80K question-QDMR pairs using questions from 10 existing datasets, show usefulness for RC and release a QDMR parser. Enjoy! 2/2']",20,01,482