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In this work, we propose a structure-aware neural\narchitecture which decomposes the semantic parsing process into two stages.\nGiven an input utterance, we first generate a rough sketch of its meaning,\nwhere low-level information (such as variable names and arguments) is glossed\nover. Then, we fill in missing details by taking into account the natural\nlanguage input and the sketch itself. Experimental results on four datasets\ncharacteristic of different domains and meaning representations show that our\napproach consistently improves performance, achieving competitive results\ndespite the use of relatively simple decoders.","url_abs":"http://arxiv.org/abs/1805.04793v1","url_pdf":"http://arxiv.org/pdf/1805.04793v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"coarse-to-fine-decoding-for-neural-semantic","repo_url":"https://github.com/donglixp/coarse2fine","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"coarse-to-fine-decoding-for-neural-semantic","repo_url":"https://github.com/inyukwo1/Coarse2fine_boilerplate","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/semantic-parsing-on-geo","task":"Semantic Parsing","dataset":"Geo","model":"coarse2fine","rank_in_archive_order":1,"of":3,"metrics":{"Accuracy":"88.2"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.04793","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.04793"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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