{"id":"https://openalex.org/W3197443285","doi":"https://doi.org/10.18293/seke2021-073","title":"Relation Extraction Model Based on Keywords Attention (S)","display_name":"Relation Extraction Model Based on Keywords Attention (S)","publication_year":2021,"publication_date":"2021-07-10","ids":{"openalex":"https://openalex.org/W3197443285","doi":"https://doi.org/10.18293/seke2021-073","mag":"3197443285"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-073","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-073","pdf_url":"https://doi.org/10.18293/seke2021-073","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-073","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027592563","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0003-0782-0450"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Chen","raw_affiliation_strings":["School of Computer Science Hubei University of Technology Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Hubei University of Technology Hubei, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027592563"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12187034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"582","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998000264167786,"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":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9934999942779541,"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":0.8785926103591919},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7096483111381531},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6388469338417053},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6047841906547546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899597406387329},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5669937133789062},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5580143928527832},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.533134937286377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5047632455825806},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4720616936683655},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45712724328041077},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43538007140159607},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.42115283012390137},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07623139023780823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8785926103591919},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7096483111381531},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6388469338417053},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6047841906547546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899597406387329},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5669937133789062},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5580143928527832},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.533134937286377},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5047632455825806},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4720616936683655},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45712724328041077},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43538007140159607},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.42115283012390137},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07623139023780823},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-073","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-073","pdf_url":"https://doi.org/10.18293/seke2021-073","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-073","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-073","pdf_url":"https://doi.org/10.18293/seke2021-073","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197443285.pdf","grobid_xml":"https://content.openalex.org/works/W3197443285.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1838058638","https://openalex.org/W1887754209","https://openalex.org/W1889268436","https://openalex.org/W2147880316","https://openalex.org/W2155454737","https://openalex.org/W2250417532","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2293023260","https://openalex.org/W2759211898","https://openalex.org/W2888294559","https://openalex.org/W2962739339","https://openalex.org/W2962897570","https://openalex.org/W2963171262","https://openalex.org/W2963560594","https://openalex.org/W2964189376","https://openalex.org/W2964217331","https://openalex.org/W4385245566","https://openalex.org/W6600493712","https://openalex.org/W6602190431","https://openalex.org/W6608477623","https://openalex.org/W6820111552"],"related_works":["https://openalex.org/W2806451243","https://openalex.org/W2144822987","https://openalex.org/W2805262146","https://openalex.org/W2807524541","https://openalex.org/W2806882588","https://openalex.org/W2964125981","https://openalex.org/W2605526599","https://openalex.org/W2796111924","https://openalex.org/W2806121831","https://openalex.org/W4379517534"],"abstract_inverted_index":{"Recently,":[0],"most":[1],"relational":[2,54,83,133],"extraction":[3],"models":[4],"usually":[5],"mitigate":[6],"the":[7,15,46,58,68,80,88,119,126,147],"adverse":[8],"effects":[9],"of":[10,21,49,82],"noise":[11],"in":[12,30,57,136],"sentences":[13,31,137],"for":[14],"prediction":[16],"results,":[17],"utilizing":[18],"different":[19],"tools":[20,141],"natural":[22],"language":[23],"processing":[24],"that":[25,52,98,125],"to":[26,40,111],"capture":[27],"high-level":[28],"features":[29,103],"combined.":[32],"However,":[33],"these":[34],"attention":[35,70,76,90,120],"mechanisms":[36],"do":[37],"not":[38],"manage":[39],"exploit":[41],"as":[42,44,118],"much":[43],"possible":[45],"semantic":[47],"information":[48,56],"certain":[50],"keywords":[51,81,131],"have":[53],"expressive":[55],"sentence.":[59],"Therefore,":[60],"this":[61],"paper":[62],"proposes":[63],"a":[64,74,93],"model":[65],"based":[66,78],"on":[67,79,130,146],"keyword's":[69],"mechanism,":[71],"which":[72],"is":[73],"novel":[75],"mechanism":[77,91],"expression":[84,134],"related.":[85],"In":[86],"particular,":[87],"proposed":[89],"utilizes":[92],"linear-chain":[94],"conditional":[95],"random":[96],"field":[97],"combines":[99],"entity-pair":[100,105],"features,":[101,106],"similarity":[102],"between":[104],"and":[107,142],"its":[108],"hidden":[109],"vectors":[110],"compute":[112],"each":[113],"word's":[114],"marginal":[115],"distribution":[116],"defined":[117],"weight.":[121],"Experimental":[122],"results":[123],"show":[124],"method":[127],"can":[128],"focus":[129],"with":[132],"semantics":[135],"without":[138],"using":[139],"sophisticated":[140],"achieves":[143],"performance":[144],"improvements":[145],"SemEval-2010":[148],"Task":[149],"8":[150],"dataset.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}