{"id":"https://openalex.org/W4387341981","doi":"https://doi.org/10.26493/scores23.12","title":"Sensitivity Analysis of Named Entity Extraction based on Deep Learning","display_name":"Sensitivity Analysis of Named Entity Extraction based on Deep Learning","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4387341981","doi":"https://doi.org/10.26493/scores23.12"},"language":"en","primary_location":{"id":"doi:10.26493/scores23.12","doi":"https://doi.org/10.26493/scores23.12","is_oa":true,"landing_page_url":"http://doi.org/10.26493/scores23.12","pdf_url":"https://doi.org/10.26493/scores23.12","source":{"id":"https://openalex.org/S7407113573","display_name":"Student Computing Research Symposium (SCORES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Student Computing Research Symposium","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.26493/scores23.12","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093002379","display_name":"Lea Roj","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I37696226","display_name":"University of Maribor","ror":"https://ror.org/01d5jce07","country_code":"SI","type":"education","lineage":["https://openalex.org/I37696226"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Lea Roj","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia","institution_ids":["https://openalex.org/I37696226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090279256","display_name":"Aleksander Pur","orcid":"https://orcid.org/0009-0005-7170-9257","observed_orcids":["https://orcid.org/0009-0005-7170-9257"]},"institutions":[{"id":"https://openalex.org/I4210131471","display_name":"Ministry of the Interior","ror":"https://ror.org/03ed7y723","country_code":"SI","type":"government","lineage":["https://openalex.org/I4210131471"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Aleksander Pur","raw_affiliation_strings":["Ministry of the Interior, \u0160tefanova ulica 2 SI-1000 Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of the Interior, \u0160tefanova ulica 2 SI-1000 Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210131471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003861840","display_name":"\u0160tefan Kohek","orcid":"https://orcid.org/0000-0002-6210-0889","observed_orcids":["https://orcid.org/0000-0002-6210-0889"]},"institutions":[{"id":"https://openalex.org/I37696226","display_name":"University of Maribor","ror":"https://ror.org/01d5jce07","country_code":"SI","type":"education","lineage":["https://openalex.org/I37696226"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"\u0160tefan Kohek","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia","institution_ids":["https://openalex.org/I37696226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061759979","display_name":"Niko Luka\u010d","orcid":"https://orcid.org/0000-0002-9517-1157","observed_orcids":["https://orcid.org/0000-0002-9517-1157"]},"institutions":[{"id":"https://openalex.org/I37696226","display_name":"University of Maribor","ror":"https://ror.org/01d5jce07","country_code":"SI","type":"education","lineage":["https://openalex.org/I37696226"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Niko Luka\u010d","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, University of Maribor Koro\u0161ka cesta 46 SI-2000 Maribor, Slovenia","institution_ids":["https://openalex.org/I37696226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1105,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26502952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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":0.9965999722480774,"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":0.9965999722480774,"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":0.00139999995008111,"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":0.00039999998989515007,"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/named-entity-recognition","display_name":"named entity recognition","score":0.9789999723434448},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"sensitivity analysis","score":0.746999979019165},{"id":"https://openalex.org/keywords/panama-papers","display_name":"Panama Papers","score":0.8550000190734863},{"id":"https://openalex.org/keywords/entity-relation-extraction","display_name":"entity relation extraction","score":0.6399999856948853},{"id":"https://openalex.org/keywords/graph-generation","display_name":"graph generation","score":0.6909999847412109},{"id":"https://openalex.org/keywords/span-length","display_name":"span length","score":0.7039999961853027},{"id":"https://openalex.org/keywords/graph-similarity","display_name":"graph similarity","score":0.5230000019073486},{"id":"https://openalex.org/keywords/knowledge-visualization","display_name":"knowledge visualization","score":0.3050000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109057307243347},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6572279930114746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5923725366592407},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.490013986825943},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.4875354468822479},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47868043184280396},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09519723057746887},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09017658233642578},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06942754983901978},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.26493/scores23.12","doi":"https://doi.org/10.26493/scores23.12","is_oa":true,"landing_page_url":"http://doi.org/10.26493/scores23.12","pdf_url":"https://doi.org/10.26493/scores23.12","source":{"id":"https://openalex.org/S7407113573","display_name":"Student Computing Research Symposium (SCORES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Student Computing Research Symposium","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.26493/scores23.12","doi":"https://doi.org/10.26493/scores23.12","is_oa":true,"landing_page_url":"http://doi.org/10.26493/scores23.12","pdf_url":"https://doi.org/10.26493/scores23.12","source":{"id":"https://openalex.org/S7407113573","display_name":"Student Computing Research Symposium (SCORES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Student Computing Research Symposium","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387341981.pdf","grobid_xml":"https://content.openalex.org/works/W4387341981.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1554917839","https://openalex.org/W1988735952","https://openalex.org/W2101234009","https://openalex.org/W2131571251","https://openalex.org/W2132022337","https://openalex.org/W2277403280","https://openalex.org/W2525778437","https://openalex.org/W2982399380","https://openalex.org/W3002226419","https://openalex.org/W3006227201","https://openalex.org/W3048229548","https://openalex.org/W3214342214","https://openalex.org/W4212863985","https://openalex.org/W4366336804","https://openalex.org/W4375959300","https://openalex.org/W4387078498"],"related_works":["https://openalex.org/W4405598392","https://openalex.org/W2949212908","https://openalex.org/W3006227201","https://openalex.org/W2901109803","https://openalex.org/W7131784425","https://openalex.org/W4389431446","https://openalex.org/W3037339631","https://openalex.org/W4320525799","https://openalex.org/W4409576537","https://openalex.org/W7066709470"],"abstract_inverted_index":{"In":[0],"the":[1,31,36,49,54,74,80,87,94,103,124,132,143],"ever-evolving":[2],"landscape":[3],"of":[4,23,76,105,126,134],"data":[5,60],"visualization":[6],"and":[7,38,46,109,131,151],"extraction,":[8],"deep":[9],"learning":[10],"techniques":[11],"have":[12],"become":[13],"increasingly":[14],"pivotal.Addressing":[15],"this,":[16],"our":[17,114],"paper":[18],"conducts":[19],"a":[20,68],"sensitivity":[21],"analysis":[22],"Named":[24],"Entity":[25],"Extraction":[26],"on":[27,136],"text":[28],"related":[29],"to":[30,43,57,67,72],"infamous":[32],"Panama":[33],"Papers.We":[34],"combine":[35],"Rebel":[37],"Natural":[39],"Language":[40],"Processing":[41],"models":[42],"extract":[44],"entities":[45],"relations.To":[47],"visualize":[48],"extracted":[50],"knowledge,":[51],"we":[52],"employ":[53],"NetworkX":[55],"library":[56],"transform":[58],"this":[59],"into":[61,91],"intuitive":[62],"graphs.These":[63],"are":[64,89],"then":[65],"compared":[66],"predefined":[69],"expected":[70],"graph":[71,116,137,149],"assess":[73],"influence":[75,125],"various":[77],"parameters":[78],"during":[79],"creation":[81],"process.To":[82],"ensure":[83],"an":[84],"accurate":[85],"comparison,":[86],"graphs":[88],"transformed":[90],"vectors":[92],"using":[93,119],"Graph2Vec":[95],"method":[96],"after":[97],"undergoing":[98],"pre-processing":[99],"tasks,":[100],"such":[101],"as":[102,142],"removal":[104],"self-loops,":[106],"isolated":[107],"nodes,":[108],"node":[110],"renaming.The":[111],"similarity":[112],"with":[113],"benchmark":[115],"is":[117],"determined":[118],"Euclidean":[120],"distance":[121],"metrics.Results":[122],"highlight":[123],"span":[127,139],"length,":[128],"length":[129,140],"penalty,":[130],"number":[133],"beams":[135],"generation.Notably,":[138],"emerges":[141],"most":[144],"impactful":[145],"factor,":[146],"in":[147],"determining":[148],"detail":[150],"complexity.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-10-05T00:00:00"}