{"id":"https://openalex.org/W2250699071","doi":"https://doi.org/10.3115/v1/p14-1083","title":"Response-based Learning for Grounded Machine Translation","display_name":"Response-based Learning for Grounded Machine Translation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250699071","doi":"https://doi.org/10.3115/v1/p14-1083","mag":"2250699071"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1083","pdf_url":"https://aclanthology.org/P14-1083.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-1083.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Stefan Riezler","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038893703","display_name":"Patrick Simianer","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":"Patrick Simianer","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","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":false,"raw_author_name":"Carolin Haas","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011749347"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":3.8057,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9406666,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"881","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9830999970436096,"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":0.8939962387084961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.709983229637146},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6942160129547119},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.5913918614387512},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5880618691444397},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5574641823768616},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5439950227737427},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5124467015266418},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.48900163173675537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3696416914463043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13283541798591614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8939962387084961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.709983229637146},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6942160129547119},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.5913918614387512},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5880618691444397},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5574641823768616},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5439950227737427},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5124467015266418},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.48900163173675537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3696416914463043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13283541798591614},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/p14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1083","pdf_url":"https://aclanthology.org/P14-1083.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.590.1694","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.590.1694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stefanriezler.com/PAPERS/ACL2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.652.642","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/P/P14/P14-1083.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1083","pdf_url":"https://aclanthology.org/P14-1083.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250699071.pdf","grobid_xml":"https://content.openalex.org/works/W2250699071.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W232191560","https://openalex.org/W1258814950","https://openalex.org/W1481820510","https://openalex.org/W1559723967","https://openalex.org/W1716250762","https://openalex.org/W1830628992","https://openalex.org/W1978381081","https://openalex.org/W2008652694","https://openalex.org/W2016522586","https://openalex.org/W2023286866","https://openalex.org/W2046384065","https://openalex.org/W2093197119","https://openalex.org/W2100271871","https://openalex.org/W2101105183","https://openalex.org/W2102258316","https://openalex.org/W2103866953","https://openalex.org/W2115328410","https://openalex.org/W2118781169","https://openalex.org/W2123825474","https://openalex.org/W2124204950","https://openalex.org/W2125536435","https://openalex.org/W2125993116","https://openalex.org/W2142623206","https://openalex.org/W2142898321","https://openalex.org/W2147898188","https://openalex.org/W2155607551","https://openalex.org/W2156050092","https://openalex.org/W2163561827","https://openalex.org/W2170716095","https://openalex.org/W2184656097","https://openalex.org/W2250872883","https://openalex.org/W2251673953","https://openalex.org/W2251912507","https://openalex.org/W2252136820","https://openalex.org/W2790246984","https://openalex.org/W2989631226","https://openalex.org/W3170166771","https://openalex.org/W3170731508","https://openalex.org/W3202911835","https://openalex.org/W3203768450"],"related_works":["https://openalex.org/W2127267268","https://openalex.org/W2136512912","https://openalex.org/W2067910792","https://openalex.org/W2968543375","https://openalex.org/W2098784136","https://openalex.org/W4288558800","https://openalex.org/W2953770453","https://openalex.org/W2888625260","https://openalex.org/W2883671469","https://openalex.org/W2728761353"],"abstract_inverted_index":{"We":[0,28],"propose":[1],"a":[2,25,42,46,50,80,84],"novel":[3],"learning":[4,19,68,70,105],"approach":[5,90],"for":[6,17,66,106],"statistical":[7],"machine":[8],"translation":[9,26],"(SMT)":[10],"that":[11],"allows":[12],"to":[13,24,31],"extract":[14],"supervision":[15],"signals":[16],"structured":[18,104],"from":[20,71,79],"an":[21,58],"extrinsic":[22],"re-sponse":[23],"input.":[27],"show":[29,57],"how":[30],"generate":[32],"responses":[33],"by":[34],"grounding":[35],"SMT":[36],"in":[37,64,103],"the":[38,54,76,92,100],"task":[39],"of":[40,45,60,83],"executing":[41],"seman-tic":[43],"parse":[44,82],"translated":[47,85],"query":[48],"against":[49],"database.":[51],"Experiments":[52],"on":[53,74,94],"GEO-QUERY":[55],"database":[56],"improvement":[59],"about":[61],"6":[62],"points":[63],"F1-score":[65],"response-based":[67],"over":[69],"refer-ences":[72],"only":[73],"returning":[75],"correct":[77],"an-swer":[78],"semantic":[81],"query.":[86],"In":[87],"general,":[88],"our":[89],"alleviates":[91],"dependency":[93],"human":[95],"reference":[96],"trans-lations":[97],"and":[98],"solves":[99],"reachability":[101],"problem":[102],"SMT.":[107],"1":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}