{"id":"https://openalex.org/W2967147920","doi":"https://doi.org/10.18293/seke2019-106","title":"Chinese Text Relation Extraction with Multi-instance Multi-label BLSTM Neural Networks","display_name":"Chinese Text Relation Extraction with Multi-instance Multi-label BLSTM Neural Networks","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2967147920","doi":"https://doi.org/10.18293/seke2019-106","mag":"2967147920"},"language":"en","primary_location":{"id":"doi:10.18293/seke2019-106","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2019-106","pdf_url":"https://doi.org/10.18293/seke2019-106","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/seke2019-106","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112119042","display_name":"Liubo Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liubo Ouyang","raw_affiliation_strings":["Department of Software Engineering Hunan University ChangSha, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering Hunan University ChangSha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024350063","display_name":"Hui Tang","orcid":"https://orcid.org/0000-0001-8856-9127"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Tang","raw_affiliation_strings":["Department of Software Engineering Hunan University Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering Hunan University Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002820037","display_name":"Guangyi Xiao","orcid":"https://orcid.org/0000-0003-0625-0804"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyi Xiao","raw_affiliation_strings":["Department of Software Engineering Hunan University Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering Hunan University Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002820037"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65294885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"337","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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":0.9980000257492065,"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":0.8299066424369812},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7852280139923096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684612512588501},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5603393316268921},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5530621409416199},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5386028289794922},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5358309745788574},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5149039030075073},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5061654448509216},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.49598559737205505},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49202749133110046},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.46720951795578003},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44087475538253784},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.42679375410079956},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41718778014183044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4123450517654419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36288124322891235},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.1893061101436615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1681842803955078},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10303616523742676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07396504282951355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299066424369812},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7852280139923096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684612512588501},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5603393316268921},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5530621409416199},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5386028289794922},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5358309745788574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5149039030075073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5061654448509216},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.49598559737205505},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49202749133110046},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.46720951795578003},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44087475538253784},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.42679375410079956},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41718778014183044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4123450517654419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36288124322891235},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.1893061101436615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1681842803955078},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10303616523742676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07396504282951355},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2019-106","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2019-106","pdf_url":"https://doi.org/10.18293/seke2019-106","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/seke2019-106","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2019-106","pdf_url":"https://doi.org/10.18293/seke2019-106","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967147920.pdf","grobid_xml":"https://content.openalex.org/works/W2967147920.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1604644367","https://openalex.org/W1614298861","https://openalex.org/W1810943226","https://openalex.org/W1904365287","https://openalex.org/W1977476104","https://openalex.org/W2087946919","https://openalex.org/W2104518905","https://openalex.org/W2107598941","https://openalex.org/W2132679783","https://openalex.org/W2133564696","https://openalex.org/W2136922672","https://openalex.org/W2147800946","https://openalex.org/W2181042685","https://openalex.org/W2182352757","https://openalex.org/W2250521169","https://openalex.org/W2251135946","https://openalex.org/W2320963147","https://openalex.org/W2383767851","https://openalex.org/W2515462165","https://openalex.org/W2517194566","https://openalex.org/W2577666659","https://openalex.org/W2590165583","https://openalex.org/W2604610161","https://openalex.org/W2738031524","https://openalex.org/W2765105011","https://openalex.org/W2776652360","https://openalex.org/W2796801810","https://openalex.org/W2891417293","https://openalex.org/W2951274974","https://openalex.org/W4248358431","https://openalex.org/W4319940250","https://openalex.org/W6680422403","https://openalex.org/W6745731224","https://openalex.org/W6748512862"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2805262146","https://openalex.org/W4379517534"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"models":[3],"have":[4,38],"emerged":[5],"as":[6,91],"powerful":[7],"tools":[8],"for":[9,21,28,76,143],"relation":[10,19,29,80,119,144],"extraction.":[11,81],"However,":[12],"little":[13],"work":[14],"has":[15],"been":[16],"done":[17],"on":[18,132],"extraction":[20,30,120,145],"the":[22,46,55,99,115,127,133],"Chinese":[23,32,36,59,79,85,94,107,147],"language.":[24],"One":[25],"major":[26],"challenge":[27,53],"in":[31,126,146],"texts":[33],"is":[34,54,102],"that":[35],"sentences":[37],"no":[39],"obvious":[40],"word":[41,49,95],"segmentation.":[42],"This":[43],"ambiguity":[44],"increases":[45],"possibility":[47],"of":[48,57,118,135],"segmentation":[50,96],"errors.":[51,97],"Another":[52],"lack":[56],"broad-scale":[58],"text":[60],"datasets.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,113,138],"propose":[66],"an":[67],"attention-based":[68],"multi-instance":[69],"multi-label":[70,116,123],"bidirectional":[71],"long":[72],"short-term":[73],"memory":[74],"network":[75,129],"distantly":[77],"supervised":[78],"Our":[82],"model":[83],"takes":[84],"character":[86,108],"embeddings":[87,90],"and":[88,109],"position":[89],"input":[92],"without":[93],"Then,":[98],"attention":[100],"mechanism":[101],"used":[103],"to":[104],"extract":[105],"richer":[106],"sentence":[110],"features.":[111],"Finally,":[112],"handle":[114],"nature":[117],"by":[121],"using":[122],"loss":[124],"functions":[125],"neural":[128],"classifier.":[130],"Based":[131],"idea":[134],"distant":[136],"supervision,":[137],"constructed":[139],"a":[140],"new":[141],"dataset":[142],"texts.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}