{"id":"https://openalex.org/W2757361303","doi":"https://doi.org/10.18653/v1/d17-1160","title":"Neural Semantic Parsing with Type Constraints for Semi-Structured Tables","display_name":"Neural Semantic Parsing with Type Constraints for Semi-Structured Tables","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2757361303","doi":"https://doi.org/10.18653/v1/d17-1160","mag":"2757361303"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1160","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1160","pdf_url":"https://www.aclweb.org/anthology/D17-1160.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1160.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062893860","display_name":"Jayant Krishnamurthy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayant Krishnamurthy","raw_affiliation_strings":["Allen Institute for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029074038","display_name":"Pradeep Dasigi","orcid":"https://orcid.org/0000-0001-7127-1316"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Dasigi","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035088083","display_name":"Matt Gardner","orcid":"https://orcid.org/0000-0001-8458-1727"},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Gardner","raw_affiliation_strings":["Allen Institute for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":250,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1516","last_page":"1526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8965508937835693},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7976102232933044},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7150833010673523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933559775352478},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5534166693687439},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5153933763504028},{"id":"https://openalex.org/keywords/logical-form","display_name":"Logical form","score":0.5102720260620117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4924103021621704},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48076483607292175},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.46504226326942444},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.44629085063934326},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.41987210512161255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8965508937835693},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7976102232933044},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7150833010673523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933559775352478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5534166693687439},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5153933763504028},{"id":"https://openalex.org/C2778790839","wikidata":"https://www.wikidata.org/wiki/Q6667497","display_name":"Logical form","level":2,"score":0.5102720260620117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4924103021621704},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48076483607292175},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.46504226326942444},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.44629085063934326},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41987210512161255},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1160","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1160","pdf_url":"https://www.aclweb.org/anthology/D17-1160.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1160","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1160","pdf_url":"https://www.aclweb.org/anthology/D17-1160.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2757361303.pdf","grobid_xml":"https://content.openalex.org/works/W2757361303.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W62369917","https://openalex.org/W147290778","https://openalex.org/W1496189301","https://openalex.org/W1533861849","https://openalex.org/W1557561422","https://openalex.org/W2047237057","https://openalex.org/W2064675550","https://openalex.org/W2101964891","https://openalex.org/W2102258316","https://openalex.org/W2111742432","https://openalex.org/W2121465811","https://openalex.org/W2124204950","https://openalex.org/W2161002933","https://openalex.org/W2163274265","https://openalex.org/W2163561827","https://openalex.org/W2189089430","https://openalex.org/W2227250678","https://openalex.org/W2251079237","https://openalex.org/W2251673953","https://openalex.org/W2252136820","https://openalex.org/W2511149293","https://openalex.org/W2557851318","https://openalex.org/W2577255746","https://openalex.org/W2590657697","https://openalex.org/W2953361271","https://openalex.org/W2962728167","https://openalex.org/W2963617989","https://openalex.org/W2963655793","https://openalex.org/W2963794306","https://openalex.org/W2963822436","https://openalex.org/W2963899988","https://openalex.org/W2964224049","https://openalex.org/W2964284687","https://openalex.org/W2964325845","https://openalex.org/W4230563027","https://openalex.org/W4295017198","https://openalex.org/W4300780994"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4390516098","https://openalex.org/W579810227","https://openalex.org/W2981822862","https://openalex.org/W2950869915","https://openalex.org/W2963106169","https://openalex.org/W4292351602","https://openalex.org/W4379261285","https://openalex.org/W2964161178","https://openalex.org/W3106381558"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"new":[3],"semantic":[4],"parsing":[5],"model":[6],"for":[7],"answering":[8],"compositional":[9],"questions":[10],"on":[11],"semi-structured":[12],"Wikipedia":[13],"tables.":[14],"Our":[15],"parser":[16],"is":[17],"an":[18],"encoder-decoder":[19],"neural":[20],"network":[21],"with":[22],"two":[23],"key":[24],"technical":[25],"innovations:":[26]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":68},{"year":2018,"cited_by_count":38},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
