{"id":"https://openalex.org/W2807132464","doi":"https://doi.org/10.18653/v1/w18-0530","title":"A Semantic Role-based Approach to Open-Domain Automatic Question Generation","display_name":"A Semantic Role-based Approach to Open-Domain Automatic Question Generation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2807132464","doi":"https://doi.org/10.18653/v1/w18-0530","mag":"2807132464"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-0530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-0530","pdf_url":"https://www.aclweb.org/anthology/W18-0530.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 Thirteenth Workshop on Innovative Use of NLP for\n          Building Educational Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-0530.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066547058","display_name":"Michael Flor","orcid":"https://orcid.org/0000-0002-3320-5729"},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Flor","raw_affiliation_strings":["Educational Testing Service 660 Rosedale Road, Princeton, NJ 08541, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Educational Testing Service 660 Rosedale Road, Princeton, NJ 08541, USA","institution_ids":["https://openalex.org/I1341030882"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089149500","display_name":"Brian Riordan","orcid":null},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Riordan","raw_affiliation_strings":["Educational Testing Service 660 Rosedale Road, Princeton, NJ 08541, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Educational Testing Service 660 Rosedale Road, Princeton, NJ 08541, USA","institution_ids":["https://openalex.org/I1341030882"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341030882"],"apc_list":null,"apc_paid":null,"fwci":3.8865,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94729147,"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":"254","last_page":"263"},"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9914000034332275,"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":0.8213615417480469},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6633597612380981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6463499069213867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6073559522628784},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.5830932259559631},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.52619868516922},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.4851253926753998},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.46080872416496277},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4480370879173279},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41974738240242004},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.21712735295295715},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1723620891571045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8213615417480469},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6633597612380981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6463499069213867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6073559522628784},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.5830932259559631},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.52619868516922},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4851253926753998},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.46080872416496277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4480370879173279},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41974738240242004},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.21712735295295715},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1723620891571045},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-0530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-0530","pdf_url":"https://www.aclweb.org/anthology/W18-0530.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 Thirteenth Workshop on Innovative Use of NLP for\n          Building Educational Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-0530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-0530","pdf_url":"https://www.aclweb.org/anthology/W18-0530.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 Thirteenth Workshop on Innovative Use of NLP for\n          Building Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807132464.pdf","grobid_xml":"https://content.openalex.org/works/W2807132464.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W109203355","https://openalex.org/W222164142","https://openalex.org/W803028973","https://openalex.org/W1531374185","https://openalex.org/W1902237438","https://openalex.org/W1924540114","https://openalex.org/W1956885672","https://openalex.org/W2022577044","https://openalex.org/W2072385577","https://openalex.org/W2078549040","https://openalex.org/W2140244223","https://openalex.org/W2158847908","https://openalex.org/W2158899491","https://openalex.org/W2172235535","https://openalex.org/W2181507835","https://openalex.org/W2250539671","https://openalex.org/W2250727448","https://openalex.org/W2283204694","https://openalex.org/W2336465850","https://openalex.org/W2466071179","https://openalex.org/W2527874007","https://openalex.org/W2561485987","https://openalex.org/W2562215231","https://openalex.org/W2566627449","https://openalex.org/W2578080060","https://openalex.org/W2741542691","https://openalex.org/W2757715585","https://openalex.org/W2777514883","https://openalex.org/W2952230511","https://openalex.org/W2962717047","https://openalex.org/W2963748441","https://openalex.org/W2964236999","https://openalex.org/W4214825680","https://openalex.org/W4238581586","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W2539940768","https://openalex.org/W2578140855","https://openalex.org/W4234387670","https://openalex.org/W3105313172","https://openalex.org/W2286186409","https://openalex.org/W98961640","https://openalex.org/W2165473894"],"abstract_inverted_index":{"We":[0,42],"present":[1,43],"a":[2,54],"novel":[3],"rule-based":[4],"system":[5,27,49,64,68],"for":[6,59],"automatic":[7],"generation":[8],"of":[9,23,30,47,75],"factual":[10],"questions":[11,36],"from":[12,37],"sentences,":[13],"using":[14],"semantic":[15,40],"role":[16],"labeling":[17],"(SRL)":[18],"as":[19],"the":[20,38,48,66],"main":[21],"form":[22],"text":[24],"analysis.":[25,41],"The":[26,62],"is":[28],"capable":[29],"generating":[31],"both":[32,70],"wh-questions":[33],"and":[34,50,73],"yes/no":[35],"same":[39],"an":[44],"extensive":[45],"evaluation":[46],"compare":[51],"it":[52],"to":[53],"recent":[55],"neural":[56,67],"network":[57],"architecture":[58],"question":[60],"generation.":[61],"SRL-based":[63],"outperforms":[65],"in":[69],"average":[71],"quality":[72],"variety":[74],"generated":[76],"questions.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
