{"id":"https://openalex.org/W2610891036","doi":"https://doi.org/10.18653/v1/w17-2603","title":"Machine Comprehension by Text-to-Text Neural Question Generation","display_name":"Machine Comprehension by Text-to-Text Neural Question Generation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2610891036","doi":"https://doi.org/10.18653/v1/w17-2603","mag":"2610891036"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-2603","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2603","pdf_url":"https://www.aclweb.org/anthology/W17-2603.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 2nd Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-2603.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043177488","display_name":"Xingdi Yuan","orcid":"https://orcid.org/0000-0002-7660-0059"},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Xingdi Yuan","raw_affiliation_strings":["Microsoft Maluuba,"],"affiliations":[{"raw_affiliation_string":"Microsoft Maluuba,","institution_ids":["https://openalex.org/I4210087053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450972","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0001-8687-4208"},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["Microsoft Maluuba,"],"affiliations":[{"raw_affiliation_string":"Microsoft Maluuba,","institution_ids":["https://openalex.org/I4210087053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041145688","display_name":"\u00c7a\u01e7lar G\u00fcl\u00e7ehre","orcid":"https://orcid.org/0009-0003-4124-1687"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]},{"id":"https://openalex.org/I4210099593","display_name":"Computer Algorithms for Medicine","ror":"https://ror.org/00zky6d38","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210099593"]}],"countries":["AT","CA"],"is_corresponding":false,"raw_author_name":"Caglar Gulcehre","raw_affiliation_strings":["Montreal Institute for Learning Algorithms, Universit de Montral","Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al"],"affiliations":[{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit de Montral","institution_ids":["https://openalex.org/I4210099593"]},{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108137151","display_name":"Alessandro Sordoni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alessandro Sordoni","raw_affiliation_strings":["Microsoft Maluuba,"],"affiliations":[{"raw_affiliation_string":"Microsoft Maluuba,","institution_ids":["https://openalex.org/I4210087053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058417675","display_name":"Philip Bachman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philip Bachman","raw_affiliation_strings":["Microsoft Maluuba,"],"affiliations":[{"raw_affiliation_string":"Microsoft Maluuba,","institution_ids":["https://openalex.org/I4210087053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014123853","display_name":"Saizheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]},{"id":"https://openalex.org/I4210099593","display_name":"Computer Algorithms for Medicine","ror":"https://ror.org/00zky6d38","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210099593"]}],"countries":["AT","CA"],"is_corresponding":false,"raw_author_name":"Saizheng Zhang","raw_affiliation_strings":["Montreal Institute for Learning Algorithms, Universit de Montral","Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al"],"affiliations":[{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit de Montral","institution_ids":["https://openalex.org/I4210099593"]},{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013965909","display_name":"Sandeep Subramanian","orcid":"https://orcid.org/0000-0002-5972-1588"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]},{"id":"https://openalex.org/I4210099593","display_name":"Computer Algorithms for Medicine","ror":"https://ror.org/00zky6d38","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210099593"]}],"countries":["AT","CA"],"is_corresponding":false,"raw_author_name":"Sandeep Subramanian","raw_affiliation_strings":["Montreal Institute for Learning Algorithms, Universit de Montral","Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al"],"affiliations":[{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit de Montral","institution_ids":["https://openalex.org/I4210099593"]},{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, Universit\u00e9 de Montr\u00e9al","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072931308","display_name":"Adam Trischler","orcid":"https://orcid.org/0000-0003-1118-8224"},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adam Trischler","raw_affiliation_strings":["Microsoft Maluuba,"],"affiliations":[{"raw_affiliation_string":"Microsoft Maluuba,","institution_ids":["https://openalex.org/I4210087053"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5043177488"],"corresponding_institution_ids":["https://openalex.org/I4210087053"],"apc_list":null,"apc_paid":null,"fwci":19.02190994,"has_fulltext":true,"cited_by_count":164,"citation_normalized_percentile":{"value":0.9924864,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.994700014591217,"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/zh\u00e0ng","display_name":"Zh\u00e0ng","score":0.6844098567962646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809658408164978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6430695056915283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6219398975372314},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5732851028442383},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5464701056480408},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.4880479574203491},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3265308141708374},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.25222504138946533},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.13209587335586548},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.10068723559379578}],"concepts":[{"id":"https://openalex.org/C2777045944","wikidata":"https://www.wikidata.org/wiki/Q12170198","display_name":"Zh\u00e0ng","level":3,"score":0.6844098567962646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809658408164978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430695056915283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6219398975372314},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5732851028442383},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5464701056480408},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4880479574203491},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3265308141708374},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25222504138946533},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.13209587335586548},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.10068723559379578},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-2603","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2603","pdf_url":"https://www.aclweb.org/anthology/W17-2603.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 2nd Workshop on Representation Learning for NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-2603","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2603","pdf_url":"https://www.aclweb.org/anthology/W17-2603.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 2nd Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2610891036.pdf","grobid_xml":"https://content.openalex.org/works/W2610891036.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W803028973","https://openalex.org/W1486649854","https://openalex.org/W1518951372","https://openalex.org/W1522301498","https://openalex.org/W1531374185","https://openalex.org/W1544827683","https://openalex.org/W1828163288","https://openalex.org/W2057629119","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2101105183","https://openalex.org/W2119717200","https://openalex.org/W2126209950","https://openalex.org/W2133564696","https://openalex.org/W2140054881","https://openalex.org/W2140679639","https://openalex.org/W2157331557","https://openalex.org/W2176263492","https://openalex.org/W2181507835","https://openalex.org/W2250425483","https://openalex.org/W2250539671","https://openalex.org/W2250794458","https://openalex.org/W2251056936","https://openalex.org/W2283204694","https://openalex.org/W2384495648","https://openalex.org/W2487501366","https://openalex.org/W2507756961","https://openalex.org/W2521709538","https://openalex.org/W2551396370","https://openalex.org/W2557764419","https://openalex.org/W2566011400","https://openalex.org/W2566627449","https://openalex.org/W2589049937","https://openalex.org/W2605243085","https://openalex.org/W2750557179","https://openalex.org/W2949615363","https://openalex.org/W2951534261","https://openalex.org/W2951813108","https://openalex.org/W2951990924","https://openalex.org/W2962944953","https://openalex.org/W2963019137","https://openalex.org/W2963167310","https://openalex.org/W2963211300","https://openalex.org/W2963248296","https://openalex.org/W2963351776","https://openalex.org/W2963595025","https://openalex.org/W2963748441","https://openalex.org/W2963938442","https://openalex.org/W2963962369","https://openalex.org/W2964121744","https://openalex.org/W2964236999","https://openalex.org/W2964267515","https://openalex.org/W2964308564","https://openalex.org/W2964335273","https://openalex.org/W2964352247","https://openalex.org/W4301230920","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2364559953","https://openalex.org/W2375840727","https://openalex.org/W2389678104","https://openalex.org/W2375137083","https://openalex.org/W2380507695","https://openalex.org/W2367687999","https://openalex.org/W2387562377","https://openalex.org/W2384722335","https://openalex.org/W2122804826","https://openalex.org/W2138640103"],"abstract_inverted_index":{"Xingdi":[0],"Yuan,":[1],"Tong":[2],"Wang,":[3],"Caglar":[4],"Gulcehre,":[5],"Alessandro":[6],"Sordoni,":[7],"Philip":[8],"Bachman,":[9],"Saizheng":[10],"Zhang,":[11],"Sandeep":[12],"Subramanian,":[13],"Adam":[14],"Trischler.":[15],"Proceedings":[16],"of":[17],"the":[18],"2nd":[19],"Workshop":[20],"on":[21],"Representation":[22],"Learning":[23],"for":[24],"NLP.":[25],"2017.":[26]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}