{"id":"https://openalex.org/W2294954250","doi":"https://doi.org/10.1109/bigcomp.2016.7425969","title":"Temporal relation classification with deep neural network","display_name":"Temporal relation classification with deep neural network","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2294954250","doi":"https://doi.org/10.1109/bigcomp.2016.7425969","mag":"2294954250"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2016.7425969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"},"type":"article","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/A5055761024","display_name":"Hyun Soo Woo","orcid":"https://orcid.org/0000-0002-9796-9074"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyun Woo Do","raw_affiliation_strings":["Department of Computer Science, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005505577","display_name":"Young-Seob Jeong","orcid":"https://orcid.org/0000-0002-9441-2940"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Seob Jeong","raw_affiliation_strings":["Department of Computer Science, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055761024"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.00808878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9975000023841858,"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":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.8009331226348877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903176546096802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988611817359924},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6882359981536865},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6488964557647705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6038759350776672},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5685374736785889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.529830276966095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5004367828369141},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.49389272928237915},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.48898422718048096},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48637059330940247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4740319550037384},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4735759198665619},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4466462731361389},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.441524863243103},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4407179355621338},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.38573479652404785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13068249821662903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12629976868629456},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08584094047546387}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8009331226348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903176546096802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988611817359924},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6882359981536865},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6488964557647705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6038759350776672},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5685374736785889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.529830276966095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5004367828369141},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.49389272928237915},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.48898422718048096},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48637059330940247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4740319550037384},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4735759198665619},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4466462731361389},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.441524863243103},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4407179355621338},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.38573479652404785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13068249821662903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12629976868629456},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08584094047546387},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2016.7425969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1571872475","https://openalex.org/W2109308402","https://openalex.org/W2158139315","https://openalex.org/W2171857887","https://openalex.org/W2250521169","https://openalex.org/W2251607656","https://openalex.org/W2251653194","https://openalex.org/W2251873637","https://openalex.org/W2782342038","https://openalex.org/W6634033046","https://openalex.org/W6676256280","https://openalex.org/W6683557909","https://openalex.org/W6691596409","https://openalex.org/W6691682895","https://openalex.org/W6691723933","https://openalex.org/W6691969854","https://openalex.org/W6747740361"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W3134502938","https://openalex.org/W2507611421"],"abstract_inverted_index":{"We":[0,70],"proposed":[1],"neural":[2],"network":[3],"architecture":[4],"based":[5],"on":[6],"Convolution":[7,61],"Neural":[8],"Network(CNN)":[9],"for":[10,67],"temporal":[11],"relation":[12],"classification":[13],"in":[14],"sentence.":[15,51],"First,":[16],"we":[17,29,91],"transformed":[18],"word":[19,24],"into":[20],"vector":[21],"by":[22],"using":[23],"embedding.":[25],"In":[26],"Feature":[27],"Extraction,":[28],"extracted":[30],"two":[31],"type":[32],"of":[33,40,49],"features.":[34],"Lexical":[35],"level":[36,45],"feature":[37,46,73],"considered":[38,47],"meaning":[39],"marked":[41],"entity":[42],"and":[43,60,62,75],"Sentence":[44],"context":[48,59],"the":[50,88],"Window":[52],"processing":[53],"was":[54],"used":[55,66,76],"to":[56,79,96],"reflect":[57],"local":[58],"Max-pooling":[63],"operation":[64,78],"were":[65],"global":[68],"context.":[69],"concatenated":[71],"both":[72],"vectors":[74],"softmax":[77],"compute":[80],"confidence":[81],"score.":[82],"Because":[83],"experiment":[84],"results":[85],"didn't":[86],"outperform":[87],"state-of-the-art":[89],"methods,":[90],"suggested":[92],"some":[93],"future":[94],"works":[95],"do.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}