{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-a-neural-semantic-parser-by","title":"Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback","arxiv_id":"1805.01252","date":"2018-05-03","proceeding":"ACL 2018 7","authors":["Carolin Lawrence","Stefan Riezler"],"abstract":"Counterfactual learning from human bandit feedback describes a scenario where\nuser feedback on the quality of outputs of a historic system is logged and used\nto improve a target system. We show how to apply this learning framework to\nneural semantic parsing. From a machine learning perspective, the key challenge\nlies in a proper reweighting of the estimator so as to avoid known degeneracies\nin counterfactual learning, while still being applicable to stochastic gradient\noptimization. To conduct experiments with human users, we devise an easy-to-use\ninterface to collect human feedback on semantic parses. Our work is the first\nto show that semantic parsers can be improved significantly by counterfactual\nlearning from logged human feedback data.","url_abs":"http://arxiv.org/abs/1805.01252v2","url_pdf":"http://arxiv.org/pdf/1805.01252v2.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":"improving-a-neural-semantic-parser-by","repo_url":"https://github.com/carolinlawrence/nematus","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"tasks":[{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"},{"task_slug":null,"task_name":"counterfactual"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.01252","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.01252"}},"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. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/carolinlawrence/nematus","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"summary":{"unverified":5},"by_repo_kind":{"official":{"samples":5,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"db72446ff1c584bc","entry":"convert_to_nodes_edges_each_v1","repo":"carolinlawrence/nematus","repo_kind":"official","path":"nematus/alignment_util.py","file_url":"https://github.com/carolinlawrence/nematus/blob/HEAD/nematus/alignment_util.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"db72446ff1c584bc"}},{"code_sha256_prefix":"88b24d0c388273cb","entry":"convert_to_nodes_edges_each_v2","repo":"carolinlawrence/nematus","repo_kind":"official","path":"nematus/alignment_util.py","file_url":"https://github.com/carolinlawrence/nematus/blob/HEAD/nematus/alignment_util.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"88b24d0c388273cb"}},{"code_sha256_prefix":"171953963fb4d022","entry":"fopen","repo":"carolinlawrence/nematus","repo_kind":"official","path":"nematus/cl_log_iterator.py","file_url":"https://github.com/carolinlawrence/nematus/blob/HEAD/nematus/cl_log_iterator.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"171953963fb4d022"}},{"code_sha256_prefix":"270ec4a02f9dba49","entry":"get_layer_constr","repo":"carolinlawrence/nematus","repo_kind":"official","path":"nematus/layers.py","file_url":"https://github.com/carolinlawrence/nematus/blob/HEAD/nematus/layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"270ec4a02f9dba49"}},{"code_sha256_prefix":"561904d1964e5473","entry":"get_layer_param","repo":"carolinlawrence/nematus","repo_kind":"official","path":"nematus/layers.py","file_url":"https://github.com/carolinlawrence/nematus/blob/HEAD/nematus/layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"561904d1964e5473"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}