{"id":"https://openalex.org/W4200232111","doi":"https://doi.org/10.1145/3487075.3487103","title":"A Review and Outlook for Relation Extraction","display_name":"A Review and Outlook for Relation Extraction","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W4200232111","doi":"https://doi.org/10.1145/3487075.3487103"},"language":"en","primary_location":{"id":"doi:10.1145/3487075.3487103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"},"type":"review","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/A5111384678","display_name":"Yu Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Yan","raw_affiliation_strings":["Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033427747","display_name":"Haolin Sun","orcid":"https://orcid.org/0009-0001-7185-0921"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolin Sun","raw_affiliation_strings":["Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111384678"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73676818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9965000152587891,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965000152587891,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9962000250816345,"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":0.9955999851226807,"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/relation","display_name":"Relation (database)","score":0.6504842042922974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5426200032234192},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5096638202667236},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4935234785079956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16754096746444702},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12310647964477539},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.11730918288230896}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6504842042922974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5426200032234192},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5096638202667236},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4935234785079956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16754096746444702},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12310647964477539},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.11730918288230896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487075.3487103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G607161736","display_name":null,"funder_award_id":"62076167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W143521272","https://openalex.org/W1502749598","https://openalex.org/W1538131130","https://openalex.org/W1550588214","https://openalex.org/W1563088657","https://openalex.org/W1981797826","https://openalex.org/W2030408698","https://openalex.org/W2110485445","https://openalex.org/W2115733720","https://openalex.org/W2163362093","https://openalex.org/W2181042685","https://openalex.org/W2189472871","https://openalex.org/W2250521169","https://openalex.org/W2252154718","https://openalex.org/W2510847435","https://openalex.org/W2513378248","https://openalex.org/W2526662185","https://openalex.org/W2555816429","https://openalex.org/W2753160622","https://openalex.org/W2767106145","https://openalex.org/W2787501667","https://openalex.org/W2808142148","https://openalex.org/W2914761779","https://openalex.org/W2963014179","https://openalex.org/W2983506369","https://openalex.org/W2984452801","https://openalex.org/W2993122375","https://openalex.org/W3095677657","https://openalex.org/W6630057933","https://openalex.org/W6658364194","https://openalex.org/W6684310905","https://openalex.org/W6697497967","https://openalex.org/W6744066916"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4385734297","https://openalex.org/W2547211086","https://openalex.org/W4221160509","https://openalex.org/W3114142812","https://openalex.org/W4380551175"],"abstract_inverted_index":{"Relation":[0],"extraction":[1,60],"(RE)":[2],"aims":[3],"to":[4,48,101],"identify":[5],"and":[6,40,76,92],"determine":[7],"the":[8,33,68,89,94,102],"specific":[9],"relation":[10,59],"between":[11],"entity":[12],"pairs":[13],"from":[14],"natural":[15],"language":[16],"texts.":[17],"As":[18],"a":[19,54,85],"key":[20],"technology":[21],"of":[22,35,57,71,88,104],"Natural":[23],"Language":[24],"Processing":[25],"(NLP),":[26],"RE":[27],"has":[28],"broad":[29],"application":[30],"prospects":[31],"in":[32],"fields":[34],"information":[36],"retrieval,":[37],"knowledge":[38],"graphs,":[39],"automatic":[41],"question":[42],"answering":[43],"systems.":[44],"From":[45],"pattern":[46],"matching":[47],"neural":[49],"network,":[50],"we":[51,65,98],"have":[52],"made":[53],"detailed":[55],"review":[56],"supervised":[58],"methods.":[61],"In":[62],"this":[63],"paper,":[64],"focus":[66],"on":[67],"two":[69],"challenges":[70],"current":[72],"RE:":[73],"Few-shot":[74],"learning":[75],"dealing":[77],"with":[78],"more":[79],"complex":[80],"context.":[81],"We":[82],"also":[83],"make":[84],"comparative":[86],"analysis":[87],"existing":[90],"methods":[91],"summarize":[93],"technical":[95],"difficulties.":[96],"Finally,":[97],"look":[99],"forward":[100],"development":[103],"RE.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
