{"id":"https://openalex.org/W3143196245","doi":"https://doi.org/10.1145/3445815.3445850","title":"Paraphrase Detection with Dependency Embedding","display_name":"Paraphrase Detection with Dependency Embedding","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3143196245","doi":"https://doi.org/10.1145/3445815.3445850","mag":"3143196245"},"language":"en","primary_location":{"id":"doi:10.1145/3445815.3445850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","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/A5038094366","display_name":"Xiaoqiang Chi","orcid":"https://orcid.org/0000-0001-8157-0424"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Chi","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101697193","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0002-4091-6422"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xiang","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072499076","display_name":"Ruchao Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruchao Shen","raw_affiliation_strings":["Shanghai International Port (Group) Co.Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai International Port (Group) Co.Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21097762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"218"},"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":0.9998999834060669,"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":0.992900013923645,"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":0.8376607894897461},{"id":"https://openalex.org/keywords/paraphrase","display_name":"Paraphrase","score":0.8190691471099854},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7654627561569214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7248187065124512},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7242994904518127},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6907318830490112},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6174342632293701},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6059033274650574},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5895716547966003},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5572053790092468},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.517822802066803},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46174174547195435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376607894897461},{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.8190691471099854},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7654627561569214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7248187065124512},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7242994904518127},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6907318830490112},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6174342632293701},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6059033274650574},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5895716547966003},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5572053790092468},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.517822802066803},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46174174547195435},{"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/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:10.1145/3445815.3445850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W58061955","https://openalex.org/W1521626219","https://openalex.org/W1614298861","https://openalex.org/W1980776243","https://openalex.org/W2081580037","https://openalex.org/W2170738476","https://openalex.org/W2250305120","https://openalex.org/W2250503148","https://openalex.org/W2251427843","https://openalex.org/W2286300105","https://openalex.org/W2413794162","https://openalex.org/W2564454774","https://openalex.org/W2593833795","https://openalex.org/W2612867916","https://openalex.org/W2774162863","https://openalex.org/W3017975492","https://openalex.org/W4238634189","https://openalex.org/W6654216269","https://openalex.org/W6690953369"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W2782520308","https://openalex.org/W4214678372","https://openalex.org/W1605559518","https://openalex.org/W2507232959","https://openalex.org/W4214601164","https://openalex.org/W4284703357","https://openalex.org/W2768697094"],"abstract_inverted_index":{"Paraphrase":[0],"detection":[1],"is":[2],"an":[3,53],"important":[4],"task":[5,154],"with":[6,39,52,149],"implications":[7],"for":[8,27,69,96,124,152],"machine":[9],"translation,":[10],"information":[11,26,148],"retrieval,":[12],"summarization":[13],"and":[14,99,126],"question":[15],"answering,":[16],"among":[17],"other":[18,79],"applications.":[19],"Inspired":[20],"by":[21,66,139],"previous":[22],"work":[23],"utilizing":[24],"syntactic":[25,141],"this":[28],"task,":[29],"we":[30,136,143],"propose":[31],"a":[32,40,49,120,129],"novel":[33],"approach":[34],"that":[35,72,138],"combines":[36],"dependency":[37,97,105],"relations":[38],"simple":[41],"neural":[42,110,150],"network.":[43],"The":[44],"dependencies":[45,71,87],"are":[46,61,73,88,107],"extracted":[47],"from":[48],"sentence":[50,130],"pair":[51,131],"off-the-shelf":[54],"natural":[55],"language":[56],"processing":[57],"toolkit,":[58],"then":[59,89],"they":[60],"divided":[62],"into":[63,109],"two":[64,92],"sets":[65,85],"alignment,":[67],"one":[68],"the":[70,78,114,153],"common":[74],"to":[75,112],"both":[76],"sentences,":[77],"set":[80],"contains":[81],"unmatched":[82],"dependencies.":[83],"Both":[84],"of":[86,155],"embedded,":[90],"using":[91],"different":[93],"embedding":[94,140],"schemes":[95],"types":[98],"head-modifier":[100],"word":[101],"pairs.":[102],"Finally,":[103],"these":[104],"embeddings":[106],"fed":[108],"nets":[111],"get":[113],"classification":[115],"results.":[116],"Our":[117],"model":[118],"learns":[119],"soft":[121],"weighting":[122],"scheme":[123],"similarities":[125],"dissimilarities":[127],"between":[128],"automatically.":[132],"Through":[133],"extensive":[134],"experimentation,":[135],"show":[137],"dependency,":[142],"can":[144],"effectively":[145],"combine":[146],"linguistic":[147],"networks":[151],"sentential":[156],"paraphrase":[157],"detection.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}