{"id":"https://openalex.org/W4415590620","doi":"https://doi.org/10.5753/stil.2025.37838","title":"CROSSAGE: A cross-attentional graph and Transformer architecture for skill and knowledge recognition in job descriptions","display_name":"CROSSAGE: A cross-attentional graph and Transformer architecture for skill and knowledge recognition in job descriptions","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4415590620","doi":"https://doi.org/10.5753/stil.2025.37838"},"language":null,"primary_location":{"id":"doi:10.5753/stil.2025.37838","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2025.37838","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/37838/37616","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XVI Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2025)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sol.sbc.org.br/index.php/stil/article/download/37838/37616","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109702291","display_name":"Antonio Kaupert Neto","orcid":"https://orcid.org/0000-0002-4967-8758"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ant\u00f4nio dos Santos Ramos Neto","raw_affiliation_strings":["UPE"],"affiliations":[{"raw_affiliation_string":"UPE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078860046","display_name":"J. F\u00e9lix","orcid":"https://orcid.org/0000-0001-5120-4300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Paulo Felix","raw_affiliation_strings":["UPE"],"affiliations":[{"raw_affiliation_string":"UPE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562918","display_name":"Wylliams Barbosa Santos","orcid":"https://orcid.org/0000-0003-2578-1248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wylliams Santos","raw_affiliation_strings":["UPE"],"affiliations":[{"raw_affiliation_string":"UPE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049490188","display_name":"Byron Leite Dantas Bezerra","orcid":"https://orcid.org/0000-0002-8327-9734"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byron Leite Dantas Bezerra","raw_affiliation_strings":["UPE"],"affiliations":[{"raw_affiliation_string":"UPE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001878987","display_name":"Cleyton M\u00e1rio de Oliveira Rodrigues","orcid":"https://orcid.org/0000-0003-3816-656X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cleyton M\u00e1rio de Oliveira Rodrigues","raw_affiliation_strings":["UPE"],"affiliations":[{"raw_affiliation_string":"UPE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109702291"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16953483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9810000061988831,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9810000061988831,"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/T10028","display_name":"Topic Modeling","score":0.9632999897003174,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9465000033378601,"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/transformer","display_name":"Transformer","score":0.7014999985694885},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5946999788284302},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5867000222206116},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.49559998512268066},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4814000129699707},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4203999936580658},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.38119998574256897},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.35830000042915344}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7014999985694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581000089645386},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5946999788284302},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432999730110168},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.49559998512268066},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44429999589920044},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42969998717308044},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.38119998574256897},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5753/stil.2025.37838","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2025.37838","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/37838/37616","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XVI Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5753/stil.2025.37838","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2025.37838","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/37838/37616","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XVI Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415590620.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2791283674","https://openalex.org/W2907492528","https://openalex.org/W2942768244","https://openalex.org/W2964051675","https://openalex.org/W2980708516","https://openalex.org/W2998436975","https://openalex.org/W3011594683","https://openalex.org/W3086525109","https://openalex.org/W3120223152","https://openalex.org/W3152893301","https://openalex.org/W3158362813","https://openalex.org/W3212098427","https://openalex.org/W3215560629","https://openalex.org/W4205156191","https://openalex.org/W4225106321","https://openalex.org/W4297834650","https://openalex.org/W4380988611","https://openalex.org/W4385445495","https://openalex.org/W4385572628","https://openalex.org/W4394896957","https://openalex.org/W4408634382","https://openalex.org/W4408674222","https://openalex.org/W4411630218"],"related_works":[],"abstract_inverted_index":{"Automatically":[0],"extracting":[1],"skills":[2],"and":[3,11,22,76],"knowledge":[4],"from":[5,38,43],"job":[6],"descriptions":[7],"supports":[8],"recruitment,":[9],"reskilling,":[10],"labor":[12],"market":[13],"analysis,":[14],"yet":[15],"traditional":[16],"NER":[17],"models":[18],"struggle":[19],"with":[20,40,56],"ambiguous":[21],"syntactically":[23],"complex":[24,85],"spans.":[25],"This":[26],"work":[27],"proposes":[28],"CROSSAGE,":[29],"a":[30],"lightweight":[31],"hybrid":[32,107],"architecture":[33],"that":[34,54],"combines":[35],"contextual":[36],"embeddings":[37],"Transformers":[39],"structural":[41],"features":[42],"dependency":[44],"graphs":[45],"via":[46],"cross-attention.":[47],"Results":[48],"on":[49],"the":[50,59,70],"SKILLSPAN":[51],"dataset":[52],"show":[53],"CROSSAGE":[55,67,90],"JobSpanBERT":[57],"achieves":[58],"highest":[60],"F1":[61,93],"for":[62,73,94],"SKILL":[63],"entities":[64],"(49.8),":[65],"while":[66],"(BERT)":[68],"matched":[69],"best":[71],"baseline":[72],"KNOWLEDGE":[74],"(64.1)":[75],"improves":[77],"recall":[78],"(68.8).":[79],"Gains":[80],"are":[81],"especially":[82],"notable":[83],"in":[84],"domains":[86],"like":[87],"house,":[88],"where":[89],"reaches":[91],"51.5":[92],"SKILL.":[95],"These":[96],"findings":[97],"highlight":[98],"CROSSAGE\u2019s":[99],"potential":[100],"as":[101],"an":[102],"effective":[103],"alternative":[104],"to":[105],"heavier":[106],"models.":[108]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-28T00:00:00"}