{"id":"https://openalex.org/W2293375150","doi":"https://doi.org/10.3115/v1/n15-1149","title":"Response-based Learning for Machine Translation of Open-domain Database Queries","display_name":"Response-based Learning for Machine Translation of Open-domain Database Queries","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2293375150","doi":"https://doi.org/10.3115/v1/n15-1149","mag":"2293375150"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-1149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1149","pdf_url":"https://www.aclweb.org/anthology/N15-1149.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N15-1149.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059345026","display_name":"Carolin Haas","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Carolin Haas","raw_affiliation_strings":["Computational Linguistics Heidelberg University 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Computational Linguistics Heidelberg University 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011749347","display_name":"Stefan Riezler","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Riezler","raw_affiliation_strings":["Computational Linguistics Heidelberg University 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Computational Linguistics Heidelberg University 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059345026"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":3.5611,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93860989,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1339","last_page":"1344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9307421445846558},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.750095009803772},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7314412593841553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6929977536201477},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6297877430915833},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6138724088668823},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45544034242630005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9307421445846558},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.750095009803772},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7314412593841553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6929977536201477},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6297877430915833},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6138724088668823},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45544034242630005},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-1149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1149","pdf_url":"https://www.aclweb.org/anthology/N15-1149.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-1149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1149","pdf_url":"https://www.aclweb.org/anthology/N15-1149.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2293375150.pdf","grobid_xml":"https://content.openalex.org/works/W2293375150.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W232191560","https://openalex.org/W240701929","https://openalex.org/W1503398984","https://openalex.org/W1570963478","https://openalex.org/W1996430422","https://openalex.org/W2002664886","https://openalex.org/W2023286866","https://openalex.org/W2081580037","https://openalex.org/W2123825474","https://openalex.org/W2124204950","https://openalex.org/W2128528573","https://openalex.org/W2143927888","https://openalex.org/W2155607551","https://openalex.org/W2163561827","https://openalex.org/W2170716095","https://openalex.org/W2171421863","https://openalex.org/W2250225488","https://openalex.org/W2250699071","https://openalex.org/W2251673953","https://openalex.org/W2251912507","https://openalex.org/W2252136820","https://openalex.org/W2312609093","https://openalex.org/W2989631226","https://openalex.org/W3170731508","https://openalex.org/W4300450573","https://openalex.org/W4301630257","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2775554247","https://openalex.org/W6643695","https://openalex.org/W2389015757","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111"],"abstract_inverted_index":{"Response-based":[0],"learning":[1],"allows":[2],"to":[3,11,53],"adapt":[4],"a":[5,95,99,106],"statistical":[6],"machine":[7],"translation":[8],"(SMT)":[9],"system":[10],"an":[12],"extrinsic":[13],"task":[14],"by":[15,32,104,112],"extracting":[16],"supervision":[17],"signals":[18,28],"from":[19,94],"task-specific":[20],"feedback.":[21],"In":[22,81],"this":[23],"paper,":[24],"we":[25],"elicit":[26],"response":[27],"for":[29,89,98],"SMT":[30],"adaptation":[31],"executing":[33],"semantic":[34,51,96],"parses":[35],"of":[36,45,57],"translated":[37,100],"queries":[38],"against":[39],"the":[40,54,84,91],"Freebase":[41],"database.":[42],"The":[43],"challenge":[44],"our":[46,82],"work":[47],"lies":[48],"in":[49,73,78,87],"scaling":[50],"parsers":[52],"lexical":[55],"diversity":[56],"opendomain":[58],"databases.":[59],"We":[60],"find":[61],"that":[62,108],"parser":[63,74,107],"performance":[64],"on":[65],"incorrect":[66],"English":[67],"sentences,":[68],"which":[69],"is":[70,76,109],"standardly":[71],"ignored":[72],"evaluation,":[75],"key":[77],"model":[79],"selection.":[80],"experiments,":[83],"biggest":[85],"improvements":[86],"F1-score":[88],"returning":[90],"correct":[92],"answer":[93],"parse":[97],"query":[101],"are":[102],"achieved":[103],"selecting":[105],"carefully":[110],"enhanced":[111],"paraphrases":[113],"and":[114],"synonyms.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}