{"id":"https://openalex.org/W6907208618","doi":"https://doi.org/10.21227/e504-pc12","title":"CONSTRAINT BASED NLP ENGINE","display_name":"CONSTRAINT BASED NLP ENGINE","publication_year":2020,"publication_date":"2020-02-13","ids":{"openalex":"https://openalex.org/W6907208618","doi":"https://doi.org/10.21227/e504-pc12"},"language":"en","primary_location":{"id":"doi:10.21227/e504-pc12","is_oa":true,"landing_page_url":"https://doi.org/10.21227/e504-pc12","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/e504-pc12","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Abbasi, Aneesa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbasi, Aneesa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"SABIR KHAN, NABEEL","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SABIR KHAN, NABEEL","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"ABID, ADNAN","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ABID, ADNAN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"FAROOQ, MUHAMMAD SHOAIB","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"FAROOQ, MUHAMMAD SHOAIB","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"DAANIAL KHAN, YASER","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DAANIAL KHAN, YASER","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"HASSAN,  BILAL","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HASSAN,  BILAL","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"KAMRAN, AWAIS","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KAMRAN, AWAIS","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.646399974822998},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.48410001397132874},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.47769999504089355},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.47119998931884766},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46970000863075256},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4018999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368999719619751},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.646399974822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319000124931335},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5859000086784363},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/e504-pc12","is_oa":true,"landing_page_url":"https://doi.org/10.21227/e504-pc12","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/e504-pc12","is_oa":true,"landing_page_url":"https://doi.org/10.21227/e504-pc12","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.43737301230430603}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visual":[0],"representations":[1],"are":[2],"always":[3],"better":[4,12],"than":[5],"narrations":[6],"in":[7,18,26,107,129],"accordance":[8],"to":[9,46,71,90],"children,":[10],"for":[11,82,92,100],"understanding.":[13],"This":[14,124],"is":[15,44],"quite":[16],"advantageous":[17],"learning":[19],"school":[20],"lessons":[21],"and":[22,30,38,73,142],"it":[23,43,55,66],"eventually":[24],"helps":[25],"engaging":[27],"the":[28,40,48,60,104,118,132,136,144,148,151,160],"children":[29],"enhancing":[31],"their":[32],"imaginative":[33],"skills.Usingnatural":[34],"language":[35,120],"processing":[36,121],"techniques":[37],"along":[39],"computer":[41],"graphics":[42],"possible":[45],"bridge":[47],"gap":[49],"between":[50],"these":[51],"two":[52],"individual":[53],"fields,":[54],"will":[56],"not":[57],"only":[58],"eliminate":[59],"existing":[61],"manual":[62],"labor":[63],"involved":[64],"instead":[65],"can":[67,78,97],"also":[68],"give":[69],"rise":[70],"efficient":[72],"effective":[74],"system":[75],"frameworks":[76],"that":[77,96,110,158],"form":[79,109],"a":[80,93,156],"foundation":[81],"complex":[83],"applications.In":[84],"this":[85],"paper":[86],"we":[87],"present":[88],"anarchitecture":[89],"design":[91],"NLP":[94,152],"engine":[95,153],"be":[98,106,112,127,155],"used":[99],"3D":[101],"scene":[102],"generation,":[103],"inputwould":[105],"textual":[108],"would":[111,126,154],"processed":[113],"by":[114],"each":[115],"module":[116],"of":[117,131,139,150],"natural":[119],"(NLP)":[122],"engine.":[123],"text":[125],"restricted":[128],"terms":[130],"constraint":[133],"based":[134],"grammar(CBG),eliminating":[135],"maximum":[137],"occurrence":[138],"any":[140],"ambiguity":[141],"easing":[143],"noun":[145],"fragmentation":[146],"process.Eventually,":[147],"output":[149],"sentence":[157],"fulfills":[159],"custom":[161],"grammatical":[162],"rules":[163]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
