{"id":"https://openalex.org/W4207035635","doi":"https://doi.org/10.1109/ssci50451.2021.9660108","title":"Relation Representation Learning for Special Cargo Ontology","display_name":"Relation Representation Learning for Special Cargo Ontology","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207035635","doi":"https://doi.org/10.1109/ssci50451.2021.9660108"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660108","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035200860","display_name":"Vahideh Reshadat","orcid":"https://orcid.org/0000-0003-4474-1524"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Vahideh Reshadat","raw_affiliation_strings":["Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067635161","display_name":"Alp Ak\u00e7ay","orcid":"https://orcid.org/0000-0003-2000-6816"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alp Akcay","raw_affiliation_strings":["Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105828006","display_name":"Kalliopi Zervanou","orcid":"https://orcid.org/0000-0001-9036-354X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kalliopi Zervanou","raw_affiliation_strings":["Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077147157","display_name":"Yingqian Zhang","orcid":"https://orcid.org/0000-0002-5073-0787"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yingqian Zhang","raw_affiliation_strings":["Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Industrial Engineering and Innovation Sciences,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044517396","display_name":"Eelco de Jong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eelco De Jong","raw_affiliation_strings":["Validaide B.V,Amsterdam,The Netherland","Validaide B.V, Amsterdam, The Netherland"],"affiliations":[{"raw_affiliation_string":"Validaide B.V,Amsterdam,The Netherland","institution_ids":[]},{"raw_affiliation_string":"Validaide B.V, Amsterdam, The Netherland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035200860"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40811367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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":0.9972000122070312,"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/ontology","display_name":"Ontology","score":0.7957314252853394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7859731912612915},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7085490226745605},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6951349973678589},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6330286264419556},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5700384974479675},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5621913075447083},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.5396113395690918},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5392735004425049},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.45697128772735596},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.4427470862865448},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.44128382205963135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4129437208175659},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.38879525661468506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3848256766796112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31362441182136536},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.2804340720176697},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.12852051854133606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1171254813671112},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09706851840019226},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09427660703659058}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7957314252853394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859731912612915},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7085490226745605},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6951349973678589},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6330286264419556},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5700384974479675},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5621913075447083},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.5396113395690918},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5392735004425049},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.45697128772735596},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.4427470862865448},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.44128382205963135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4129437208175659},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.38879525661468506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3848256766796112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31362441182136536},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.2804340720176697},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.12852051854133606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1171254813671112},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09706851840019226},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09427660703659058},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660108","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Reshadat, V, Akcay, A, Zervanou, K, Zhang, Y & de Jong, E 2022, Relation Representation Learning for Special Cargo Ontology. in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings., 9660108, Institute of Electrical and Electronics Engineers, pp. 1-8, IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2021, Orlando, Florida, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660108","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85125811298&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Reshadat, V, Akcay, A, Zervanou, K, Zhang, Y & de Jong, E 2022, Relation Representation Learning for Special Cargo Ontology. in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings., 9660108, Institute of Electrical and Electronics Engineers, pp. 1-8, IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2021, Orlando, Florida, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660108","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, 1 - 8","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/194d9dbe-d8a1-4d8f-91b5-f4181fea7b76","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Reshadat, V, Akcay, A, Zervanou, K, Zhang, Y & de Jong, E 2022, Relation Representation Learning for Special Cargo Ontology. in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings., 9660108, Institute of Electrical and Electronics Engineers, pp. 1-8, IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2021, Orlando, Florida, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660108","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1541028277","https://openalex.org/W1614862348","https://openalex.org/W1647671624","https://openalex.org/W1673310716","https://openalex.org/W1880262756","https://openalex.org/W2033709196","https://openalex.org/W2062233052","https://openalex.org/W2068737686","https://openalex.org/W2090125415","https://openalex.org/W2099779943","https://openalex.org/W2160517426","https://openalex.org/W2167187514","https://openalex.org/W2170064161","https://openalex.org/W2182534007","https://openalex.org/W2250539671","https://openalex.org/W2420379518","https://openalex.org/W2516255829","https://openalex.org/W2551059080","https://openalex.org/W2576546819","https://openalex.org/W2740811004","https://openalex.org/W2765997852","https://openalex.org/W2785105945","https://openalex.org/W2799125718","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W2963168538","https://openalex.org/W2963625095","https://openalex.org/W2963777632","https://openalex.org/W2963918774","https://openalex.org/W2964022985","https://openalex.org/W2971136144","https://openalex.org/W2987076506","https://openalex.org/W2990195452","https://openalex.org/W3015345022","https://openalex.org/W3037109418","https://openalex.org/W3129640085","https://openalex.org/W3166012964","https://openalex.org/W4292779060","https://openalex.org/W6636915900","https://openalex.org/W6637131181","https://openalex.org/W6639619044","https://openalex.org/W6683645056","https://openalex.org/W6684350123","https://openalex.org/W6686025400","https://openalex.org/W6732414893","https://openalex.org/W6755207826","https://openalex.org/W6763541153","https://openalex.org/W6775748897","https://openalex.org/W6778883912","https://openalex.org/W6790423364","https://openalex.org/W6796263397"],"related_works":["https://openalex.org/W1771592750","https://openalex.org/W2024342824","https://openalex.org/W4255991504","https://openalex.org/W169590660","https://openalex.org/W2045726866","https://openalex.org/W111088122","https://openalex.org/W2354320020","https://openalex.org/W1576659514","https://openalex.org/W2138657316","https://openalex.org/W4247277368"],"abstract_inverted_index":{"Non-transparent":[0],"shipping":[1],"processes":[2],"of":[3,59,98,130,142],"transporting":[4],"goods":[5],"with":[6,148],"special":[7,53,125],"handling":[8],"needs":[9],"(special":[10],"cargoes)":[11],"have":[12],"resulted":[13],"in":[14,16,38,123],"inefficiency":[15],"the":[17,31,52,60,124,134,138,143],"airfreight":[18],"industry.":[19],"Special":[20],"cargo":[21,54,126],"ontology":[22,48,61],"elicits,":[23],"structures,":[24],"and":[25,29,34,56,95,145],"stores":[26],"domain":[27,32,80],"knowledge":[28],"represents":[30],"concepts":[33],"relationship":[35],"between":[36,102],"them":[37],"a":[39,89,111,118],"machine-readable":[40],"format.":[41],"In":[42],"this":[43,87],"paper,":[44],"we":[45,64],"proposed":[46],"an":[47,69],"population":[49,62],"pipeline":[50],"for":[51,82,93],"domain,":[55,144],"as":[57],"part":[58],"task,":[63],"investigated":[65],"how":[66],"to":[67],"build":[68],"efficient":[70],"information":[71,141],"extraction":[72],"model":[73,90,107,135],"from":[74],"low-resource":[75],"domains":[76],"based":[77,109],"on":[78,110],"available":[79],"data":[81],"industry":[83],"use":[84],"cases.":[85],"For":[86],"purpose,":[88],"is":[91,108],"designed":[92],"extracting":[94],"classifying":[96],"instances":[97],"different":[99],"relation":[100,112],"types":[101],"each":[103],"concept":[104],"pair.":[105],"The":[106,128],"representation":[113],"learning":[114],"approach":[115],"built":[116],"upon":[117],"Hierarchical":[119],"Attention-based":[120],"Multi-task":[121],"architecture":[122],"domain.":[127],"results":[129],"experiments":[131],"show":[132],"that":[133],"could":[136],"represent":[137],"complex":[139],"semantic":[140],"tasks":[146],"initialized":[147],"these":[149],"representations":[150],"achieve":[151],"promising":[152],"results.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}