{"id":"https://openalex.org/W4385750042","doi":"https://doi.org/10.1145/3583780.3615151","title":"Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem","display_name":"Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4385750042","doi":"https://doi.org/10.1145/3583780.3615151"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615151","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583780.3615151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.04688","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047632433","display_name":"Kaito Majima","orcid":"https://orcid.org/0009-0001-0834-1200"},"institutions":[{"id":"https://openalex.org/I4210114208","display_name":"Nikkei Business Publications (Japan)","ror":"https://ror.org/0220t3t55","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210114208"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaito Majima","raw_affiliation_strings":["Nikkei Inc., Otemachi, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0001-0834-1200","affiliations":[{"raw_affiliation_string":"Nikkei Inc., Otemachi, Tokyo, Japan","institution_ids":["https://openalex.org/I4210114208"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034011295","display_name":"Shotaro Ishihara","orcid":"https://orcid.org/0009-0001-0366-6807"},"institutions":[{"id":"https://openalex.org/I4210114208","display_name":"Nikkei Business Publications (Japan)","ror":"https://ror.org/0220t3t55","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210114208"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Ishihara","raw_affiliation_strings":["Nikkei Inc., Otemachi, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0001-0366-6807","affiliations":[{"raw_affiliation_string":"Nikkei Inc., Otemachi, Tokyo, Japan","institution_ids":["https://openalex.org/I4210114208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114208"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09458422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"4170","last_page":"4174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9968000054359436,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9968000054359436,"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/T10731","display_name":"Educational Games and Gamification","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9873999953269958,"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":0.7975814342498779},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.773672878742218},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6871516704559326},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.627650797367096},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.6024008393287659},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5801185965538025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41724342107772827},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3717358112335205},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32270127534866333},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19808974862098694},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0927380621433258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0768854022026062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975814342498779},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.773672878742218},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6871516704559326},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.627650797367096},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.6024008393287659},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5801185965538025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41724342107772827},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3717358112335205},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32270127534866333},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19808974862098694},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0927380621433258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0768854022026062},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615151","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583780.3615151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.04688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04688","pdf_url":"https://arxiv.org/pdf/2308.04688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.04688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.04688","pdf_url":"https://arxiv.org/pdf/2308.04688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8799999952316284,"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/W4385750042.pdf","grobid_xml":"https://content.openalex.org/works/W4385750042.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1966022001","https://openalex.org/W2068900353","https://openalex.org/W2099993990","https://openalex.org/W2137006453","https://openalex.org/W2346933546","https://openalex.org/W2534652523","https://openalex.org/W2581491999","https://openalex.org/W2605961645","https://openalex.org/W2889670144","https://openalex.org/W2901854030","https://openalex.org/W2944956221","https://openalex.org/W2962717047","https://openalex.org/W2989613245","https://openalex.org/W3025667555","https://openalex.org/W3176228888","https://openalex.org/W4205635927","https://openalex.org/W4205954060","https://openalex.org/W4206336865","https://openalex.org/W4225387478","https://openalex.org/W4239019441","https://openalex.org/W4296426194","https://openalex.org/W6777994043"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266","https://openalex.org/W2023722467"],"abstract_inverted_index":{"Crossword":[0],"puzzles":[1,107],"have":[2],"traditionally":[3],"served":[4],"not":[5],"only":[6],"as":[7,11,35,73,83,87,150],"entertainment":[8],"but":[9],"also":[10],"an":[12,151],"educational":[13,30,152],"tool":[14],"that":[15,80,104,137],"can":[16,108,147],"be":[17,109,148],"used":[18],"to":[19,27],"acquire":[20],"vocabulary":[21],"and":[22,55,69,77,95,121,144],"language":[23],"proficiency.":[24],"One":[25],"strategy":[26],"enhance":[28],"the":[29,47,92,118,130,134],"purpose":[31],"is":[32,133],"personalization,":[33],"such":[34],"including":[36],"more":[37],"words":[38,86],"on":[39,46],"a":[40,57,71,74,126,138,141],"particular":[41],"topic.":[42],"This":[43,132],"paper":[44],"focuses":[45],"case":[48],"of":[49,129,140],"encouraging":[50],"people's":[51],"interest":[52],"in":[53],"news":[54],"proposes":[56],"framework":[58],"for":[59],"automatically":[60],"generating":[61],"news-centric":[62,105],"crossword":[63,106],"puzzles.":[64],"We":[65,116],"designed":[66],"possible":[67],"scenarios":[68],"built":[70],"prototype":[72],"constraint":[75,142],"satisfaction":[76,143],"optimization":[78,145],"problem,":[79],"is,":[81],"containing":[82],"many":[84],"news-derived":[85,114],"possible.":[88],"Our":[89],"experiments":[90],"reported":[91],"generation":[93],"probabilities":[94],"time":[96],"required":[97],"under":[98],"several":[99],"conditions.":[100],"The":[101],"results":[102],"showed":[103],"generated":[110],"even":[111],"with":[112],"few":[113],"words.":[115],"summarize":[117],"current":[119],"issues":[120],"future":[122],"research":[123],"directions":[124],"through":[125],"qualitative":[127],"evaluation":[128],"prototype.":[131],"first":[135],"proposal":[136],"formulation":[139],"problem":[146],"beneficial":[149],"application.":[153]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}