{"id":495671,"date":"2018-07-18T14:02:07","date_gmt":"2018-07-18T21:02:07","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=495671"},"modified":"2018-10-16T22:22:51","modified_gmt":"2018-10-17T05:22:51","slug":"execution-guided-neural-program-decoding","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/execution-guided-neural-program-decoding\/","title":{"rendered":"Execution-Guided Neural Program Decoding"},"content":{"rendered":"\n\n\n<p class=\"wp-block-paragraph\">We present a neural semantic parser that translates natural language questions into executable SQL queries with two key ideas. First, we develop an encoder-decoder model, where the decoder uses a simple type system of SQL to constraint the output prediction, and propose a value-based loss when copying from input tokens. Second, we explore using the execution semantics of SQL to re-pair decoded programs that result in runtime error return empty result. We propose two model-agnostics repair approaches, an ensemble model and a local program repair, and demonstrate their effectiveness over the original model. We evaluate our model on the WikiSQL dataset and show that our model achieves close to state-of-the-art results with lesser model complexity. <div class=\"metatable\" style=\"font-size: 12.96px;margin: 0px 0px 1.5em 20px;color: #000000;font-family: 'Lucida Grande', helvetica, arial, verdana, sans-serif;font-style: normal;font-weight: 400;letter-spacing: normal;text-align: start;text-indent: 0px;background-color: #ffffff\"><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a neural semantic parser that translates natural language questions into executable SQL queries with two key ideas. First, we develop an encoder-decoder model, where the decoder uses a simple type system of SQL to constraint the output prediction, and propose a value-based loss when copying from input tokens. Second, we explore using the [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"text","value":"Chenglong Wang","user_id":0},{"type":"user_nicename","value":"Po-Sen Huang","user_id":"35966"},{"type":"user_nicename","value":"Alex Polozov","user_id":"36711"},{"type":"user_nicename","value":"Marc Brockschmidt","user_id":"32763"},{"type":"text","value":"Rishabh Singh ","user_id":0}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"ICML Neural Abstract Machines & Program 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