{"id":"https://openalex.org/W4361793669","doi":"https://doi.org/10.1145/3582197.3582205","title":"End-to-End Entity Linking Combined with Bert-based Siamese and Interaction Network","display_name":"End-to-End Entity Linking Combined with Bert-based Siamese and Interaction Network","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4361793669","doi":"https://doi.org/10.1145/3582197.3582205"},"language":"en","primary_location":{"id":"doi:10.1145/3582197.3582205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3582197.3582205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082423687","display_name":"Yuyang Wang","orcid":"https://orcid.org/0000-0002-2159-0690"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyang Wang","raw_affiliation_strings":["Beijing University of Post and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-2159-0690","affiliations":[{"raw_affiliation_string":"Beijing University of Post and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082423687"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22221793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9909999966621399,"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":0.8271315097808838},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7637454271316528},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.690984845161438},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6011872887611389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5600945353507996},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5495081543922424},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5461120009422302},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5424867272377014},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4798383414745331},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4685329496860504},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45968836545944214},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.4482479691505432},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4210665822029114},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4157223403453827},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.3228985071182251},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09349668025970459},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08072751760482788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271315097808838},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7637454271316528},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.690984845161438},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6011872887611389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5600945353507996},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5495081543922424},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5461120009422302},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5424867272377014},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4798383414745331},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4685329496860504},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45968836545944214},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.4482479691505432},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4210665822029114},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4157223403453827},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3228985071182251},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09349668025970459},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08072751760482788},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582197.3582205","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3582197.3582205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2165549065","https://openalex.org/W2252231772","https://openalex.org/W2471349142","https://openalex.org/W2489487449","https://openalex.org/W2594284271","https://openalex.org/W2599674900","https://openalex.org/W2785888191","https://openalex.org/W2896457183","https://openalex.org/W2897725449","https://openalex.org/W2899575547","https://openalex.org/W2950641577","https://openalex.org/W2963863453","https://openalex.org/W2973870197","https://openalex.org/W2984147501","https://openalex.org/W2995289474","https://openalex.org/W3010183557","https://openalex.org/W3032553678","https://openalex.org/W3089439236","https://openalex.org/W3092594007","https://openalex.org/W3105093672","https://openalex.org/W4248665381","https://openalex.org/W6802002071","https://openalex.org/W6841155350"],"related_works":["https://openalex.org/W3134247745","https://openalex.org/W4226243593","https://openalex.org/W3172691639","https://openalex.org/W2167202928","https://openalex.org/W2963582704","https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W173870552","https://openalex.org/W4387163706"],"abstract_inverted_index":{"The":[0,83,95],"Entity":[1,50,316],"Linking":[2,51],"(EL)":[3],"task":[4,65],"is":[5,85,98,213,280,305],"actually":[6],"more":[7],"complex":[8],"than":[9],"it":[10,304],"seems.":[11],"Not":[12],"only":[13,70],"are":[14,118,319],"most":[15],"of":[16,41,81,125,134,165,177,207,218,249,310],"the":[17,28,38,42,63,79,122,126,130,135,143,155,162,166,174,178,183,186,189,192,196,205,216,219,223,239,246,250,255,264,268,283,289,295,300,308,322,328],"given":[18,69],"texts":[19],"short":[20,71],"and":[21,57,67,112,129,188,195,210,242,266,299,314,327],"unlabeled":[22],"with":[23,54],"candidate":[24,156,211,243,270],"mention":[25,76,172,187,208,240,251],"information,":[26],"but":[27],"entities":[29,271],"to":[30,90,120,199,262,272],"be":[31,149],"predicted":[32],"generally":[33],"do":[34],"not":[35],"appear":[36],"in":[37,170,191,321],"training":[39],"set":[40],"pre-trained":[43],"model.":[44],"This":[45],"paper":[46],"introduces":[47],"an":[48,113,200,228],"end-to-end":[49,92,323],"model":[52,84,290],"combined":[53],"Bert-based":[55],"Siamese":[56,103],"Interaction":[58],"Network,":[59],"which":[60],"can":[61,140,148,331],"complete":[62],"EL":[64,297],"quickly":[66],"accurately":[68],"textual":[72],"information":[73],"without":[74],"pre-specified":[75],"boundaries":[77],"at":[78],"time":[80],"input.":[82],"divided":[86],"into":[87],"two":[88,329],"stages":[89],"achieve":[91,273],"entity":[93,114,131,190,201,253,324],"linking.":[94],"first":[96,160,220],"part":[97],"a":[99,109,146,152,171,259,277],"pretrained":[100,234],"BERT":[101,235],"encoder-based":[102],"network":[104,230],"(BSN)":[105],"architecture.":[106],"BSN":[107],"includes":[108],"text":[110,128],"encoder":[111,236],"encoder.":[115,256],"These":[116],"encoders":[117],"used":[119,150],"obtain":[121,182,245,263],"word":[123,168],"embedding":[124],"input":[127],"description":[132],"token":[133,167],"knowledge":[136,193],"base":[137,194],"respectively.":[138],"We":[139,180],"also":[141],"calculate":[142],"probability":[144],"that":[145,307],"span":[147,197],"as":[151,173,215],"mention.":[153,179],"In":[154,222,287],"generation":[157,212],"process,":[158,326],"we":[159,226],"take":[161],"average":[163],"value":[164],"vector":[169,176,248],"representation":[175,247],"further":[181],"similarity":[184],"between":[185],"corresponding":[198,278],"probability.":[202],"During":[203],"training,":[204],"loss":[206,217],"detection":[209],"counted":[214],"part.":[221],"second":[224],"part,":[225],"add":[227,258],"interaction":[229],"(BIN)":[231],"based":[232],"on":[233,294],"(BIN).":[237],"Concatenate":[238],"context":[241],"entities,":[244],"context-candidate":[252],"through":[254],"Then":[257],"linear":[260],"layer":[261],"score":[265],"reorder":[267],"original":[269],"final":[274],"disambiguation.":[275],"Besides,":[276],"solution":[279],"proposed":[281],"for":[282],"Speed-Accuracy":[284],"Tradeoff":[285],"problem.":[286],"experiments,":[288],"achieves":[291],"near-SOTA":[292],"performance":[293],"Zero-shot":[296],"dataset":[298],"WikilinksNED":[301],"dataset.":[302],"And":[303],"shown":[306],"stage":[309],"Mention":[311],"Detection":[312],"(MD)":[313],"Candidate":[315],"Generation":[317],"(CEG)":[318],"crucial":[320],"linking":[325],"tasks":[330],"benefit":[332],"from":[333,336],"each":[334],"other":[335],"joint":[337],"training.":[338]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}