{"id":"https://openalex.org/W2996824584","doi":"https://doi.org/10.1145/3336191.3371808","title":"ENTYFI","display_name":"ENTYFI","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2996824584","doi":"https://doi.org/10.1145/3336191.3371808","mag":"2996824584"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070858847","display_name":"Cuong Xuan Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Cuong Xuan Chu","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058717031","display_name":"Simon Razniewski","orcid":"https://orcid.org/0000-0002-5410-218X"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Razniewski","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088135366","display_name":"Gerhard Weikum","orcid":"https://orcid.org/0000-0003-4959-6098"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Weikum","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070858847"],"corresponding_institution_ids":["https://openalex.org/I4210109712"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71219977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9797999858856201,"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":0.7795208692550659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5613409280776978},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5259236097335815},{"id":"https://openalex.org/keywords/amateur","display_name":"Amateur","score":0.5118135809898376},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44822201132774353},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.44664156436920166},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3394821882247925},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12614700198173523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795208692550659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5613409280776978},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5259236097335815},{"id":"https://openalex.org/C2778044066","wikidata":"https://www.wikidata.org/wiki/Q455595","display_name":"Amateur","level":2,"score":0.5118135809898376},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44822201132774353},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.44664156436920166},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3394821882247925},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12614700198173523},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W11196620","https://openalex.org/W638568100","https://openalex.org/W848102080","https://openalex.org/W1544827683","https://openalex.org/W1565763308","https://openalex.org/W1906515132","https://openalex.org/W2068737686","https://openalex.org/W2096765155","https://openalex.org/W2132655161","https://openalex.org/W2144499799","https://openalex.org/W2144578941","https://openalex.org/W2158794898","https://openalex.org/W2158899491","https://openalex.org/W2236405165","https://openalex.org/W2250539671","https://openalex.org/W2251239360","https://openalex.org/W2251264718","https://openalex.org/W2293081954","https://openalex.org/W2296283641","https://openalex.org/W2406945108","https://openalex.org/W2461267643","https://openalex.org/W2467995757","https://openalex.org/W2551333235","https://openalex.org/W2564425030","https://openalex.org/W2572998653","https://openalex.org/W2604672944","https://openalex.org/W2729101176","https://openalex.org/W2740765036","https://openalex.org/W2742947407","https://openalex.org/W2825027418","https://openalex.org/W2884001105","https://openalex.org/W2897246089","https://openalex.org/W2913196542","https://openalex.org/W2962713724","https://openalex.org/W2962891712","https://openalex.org/W2963085936","https://openalex.org/W2963266340","https://openalex.org/W2964084166","https://openalex.org/W2964330146"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W1590307681","https://openalex.org/W2536018345"],"abstract_inverted_index":{"Fiction":[0],"and":[1,16,52,56,83,97,100,116],"fantasy":[2],"are":[3],"archetypes":[4],"of":[5,58,133],"long-tail":[6],"domains":[7,61],"that":[8],"lack":[9],"comprehensive":[10],"methods":[11],"for":[12,25,48,62],"automated":[13],"language":[14],"processing":[15],"knowledge":[17,101],"extraction.":[18],"We":[19],"present":[20],"ENTYFI,":[21],"the":[22,54,119,131],"first":[23],"methodology":[24],"typing":[26,64,88],"entities":[27],"in":[28,65,111],"fictional":[29,50,60,128],"texts":[30,129],"coming":[31],"from":[32],"books,":[33],"fan":[34],"communities":[35],"or":[36],"amateur":[37],"writers.":[38],"ENTYFI":[39,69],"builds":[40],"on":[41,125],"205":[42],"automatically":[43],"induced":[44],"high-quality":[45],"type":[46,73,84],"systems":[47],"popular":[49],"domains,":[51],"exploits":[53],"overlap":[55],"reuse":[57],"these":[59],"fine-grained":[63],"previously":[66],"unseen":[67],"texts.":[68],"comprises":[70],"five":[71],"steps:":[72],"system":[74],"induction,":[75],"domain":[76],"relatedness":[77],"ranking,":[78],"mention":[79,81],"detection,":[80],"typing,":[82],"consolidation.":[85],"The":[86,104],"recall-oriented":[87],"module":[89],"combines":[90],"a":[91],"supervised":[92],"neural":[93],"model,":[94],"unsupervised":[95],"Hearst-style":[96],"dependency":[98],"patterns,":[99],"base":[102],"lookups.":[103],"precision-oriented":[105],"consolidation":[106],"stage":[107],"utilizes":[108],"co-occurrence":[109],"statistics":[110],"order":[112],"to":[113,117],"remove":[114],"noise":[115],"identify":[118],"most":[120],"relevant":[121],"types.":[122],"Extensive":[123],"experiments":[124],"newly":[126],"seen":[127],"demonstrate":[130],"quality":[132],"ENTYFI.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-01-10T00:00:00"}