{"id":"https://openalex.org/W2978861612","doi":"https://doi.org/10.1109/ijcnn.2019.8852028","title":"Learning Syntactic and Dynamic Selective Encoding for Document Summarization","display_name":"Learning Syntactic and Dynamic Selective Encoding for Document Summarization","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978861612","doi":"https://doi.org/10.1109/ijcnn.2019.8852028","mag":"2978861612"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5066544410","display_name":"Haiyang Xu","orcid":"https://orcid.org/0000-0001-9442-5912"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyang Xu","raw_affiliation_strings":["AI Labs - Didi Chuxing Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Labs - Didi Chuxing Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111630794","display_name":"Yahao He","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahao He","raw_affiliation_strings":["AI Labs - Didi Chuxing Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Labs - Didi Chuxing Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924647","display_name":"Kun Han","orcid":"https://orcid.org/0000-0003-2148-7594"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Han","raw_affiliation_strings":["AI Labs - Didi Chuxing Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Labs - Didi Chuxing Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808761","display_name":"Junwen Chen","orcid":"https://orcid.org/0000-0001-9808-1520"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwen Chen","raw_affiliation_strings":["AI Labs - Didi Chuxing Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Labs - Didi Chuxing Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081173423","display_name":"Xiangang Li","orcid":"https://orcid.org/0000-0002-7810-1077"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangang Li","raw_affiliation_strings":["AI Labs - Didi Chuxing Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Labs - Didi Chuxing Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066544410"],"corresponding_institution_ids":["https://openalex.org/I4401726870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11825014,"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":"1","last_page":"8"},"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":0.9940000176429749,"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":0.884126603603363},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8610456585884094},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6420842409133911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373021602630615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6320335268974304},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5923796892166138},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5726441144943237},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5670092105865479},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4889453649520874},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4801035225391388},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47832512855529785},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.45341289043426514},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39035919308662415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08401361107826233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.884126603603363},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8610456585884094},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6420842409133911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373021602630615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6320335268974304},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5923796892166138},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5726441144943237},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5670092105865479},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4889453649520874},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4801035225391388},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47832512855529785},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.45341289043426514},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39035919308662415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08401361107826233},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W1979658789","https://openalex.org/W2028339364","https://openalex.org/W2058232337","https://openalex.org/W2079735306","https://openalex.org/W2083451366","https://openalex.org/W2102269292","https://openalex.org/W2103164118","https://openalex.org/W2105542801","https://openalex.org/W2110693578","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2167232041","https://openalex.org/W2307381258","https://openalex.org/W2467173223","https://openalex.org/W2507756961","https://openalex.org/W2573425638","https://openalex.org/W2574535369","https://openalex.org/W2606974598","https://openalex.org/W2609482285","https://openalex.org/W2612675303","https://openalex.org/W2741375528","https://openalex.org/W2798743277","https://openalex.org/W2952138241","https://openalex.org/W2962883855","https://openalex.org/W2962965405","https://openalex.org/W2963545005","https://openalex.org/W2963913268","https://openalex.org/W2963929190","https://openalex.org/W2964144561","https://openalex.org/W2964159778","https://openalex.org/W2964165364","https://openalex.org/W2964210218","https://openalex.org/W2964308564","https://openalex.org/W3101913037","https://openalex.org/W3102307539","https://openalex.org/W4295249402","https://openalex.org/W6623987585","https://openalex.org/W6636133922","https://openalex.org/W6675222370","https://openalex.org/W6676517574","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682631176","https://openalex.org/W6712785310","https://openalex.org/W6725207838","https://openalex.org/W6731627058","https://openalex.org/W6731948947","https://openalex.org/W6737479944"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2187606256","https://openalex.org/W2275988210"],"abstract_inverted_index":{"Text":[0],"summarization":[1,175],"aims":[2],"to":[3,26,65,73,124,147,163],"generate":[4,35],"a":[5,8,31,97,143],"headline":[6],"or":[7],"short":[9],"summary":[10],"consisting":[11],"of":[12,16,54,156],"the":[13,17,23,28,42,45,51,55,62,67,71,74,80,85,89,107,121,127,133,149,154,157,178,183],"major":[14],"information":[15,53,68,86,114,131,151],"source":[18],"text.":[19,56],"Recent":[20],"studies":[21,40,60],"employ":[22],"sequence-to-sequence":[24],"framework":[25],"encode":[27],"input":[29],"with":[30,44],"neural":[32,99],"network":[33,146],"and":[34,82,129,177],"abstractive":[36],"summary.":[37],"However,":[38],"most":[39],"feed":[41],"encoder":[43,72],"semantic":[46,128],"word":[47],"embedding":[48],"but":[49],"ignore":[50],"syntactic":[52,113,130],"Further,":[57],"although":[58],"previous":[59],"proposed":[61,167,184],"selective":[63],"gate":[64,145],"control":[66],"flow":[69],"from":[70,132],"decoder,":[75],"it":[76],"is":[77,161],"static":[78],"during":[79],"decoding":[81],"cannot":[83],"differentiate":[84],"based":[87,152],"on":[88,153,172],"decoder":[90,158],"states.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95,111,141],"propose":[96,142],"novel":[98],"architecture":[100],"for":[101],"document":[102,164],"summarization.":[103,165],"Our":[104],"approach":[105,185],"has":[106,169],"following":[108],"contributions:":[109],"first,":[110],"incorporate":[112],"such":[115],"as":[116],"constituency":[117],"parsing":[118],"trees":[119],"into":[120],"encoding":[122],"sequence":[123],"learn":[125],"both":[126],"document,":[134],"resulting":[135],"in":[136],"more":[137],"accurate":[138],"summary;":[139],"second,":[140],"dynamic":[144],"select":[148],"salient":[150],"context":[155],"state,":[159],"which":[160],"essential":[162],"The":[166],"model":[168],"been":[170],"evaluated":[171],"CNN/Daily":[173],"Mail":[174],"datasets":[176],"experimental":[179],"results":[180],"show":[181],"that":[182],"outperforms":[186],"baseline":[187],"approaches.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
