{"id":"https://openalex.org/W2773434669","doi":"https://doi.org/10.1145/3155133.3155177","title":"Phrasal Graph-based Method for Abstractive Vietnamese Paragraph Compression","display_name":"Phrasal Graph-based Method for Abstractive Vietnamese Paragraph Compression","publication_year":2017,"publication_date":"2017-12-07","ids":{"openalex":"https://openalex.org/W2773434669","doi":"https://doi.org/10.1145/3155133.3155177","mag":"2773434669"},"language":"en","primary_location":{"id":"doi:10.1145/3155133.3155177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3155133.3155177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Information and Communication Technology","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/A5035718126","display_name":"Dang Tuan Nguyen","orcid":"https://orcid.org/0000-0002-1664-9328"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Dang Tuan Nguyen","raw_affiliation_strings":["University of Information Technology, VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology, VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101984814","display_name":"Trung Nghia Tran","orcid":"https://orcid.org/0000-0002-0351-8193"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trung Tran","raw_affiliation_strings":["University of Information Technology, VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Information Technology, VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035718126"],"corresponding_institution_ids":["https://openalex.org/I123565023","https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63994549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","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/computer-science","display_name":"Computer science","score":0.8151960372924805},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6472486257553101},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6301323175430298},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.5954351425170898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5849230885505676},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5708544850349426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5416870713233948},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4159639775753021},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23219606280326843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11292153596878052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151960372924805},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6472486257553101},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6301323175430298},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.5954351425170898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5849230885505676},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5708544850349426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5416870713233948},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4159639775753021},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23219606280326843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11292153596878052},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3155133.3155177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3155133.3155177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Information and Communication Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W151579683","https://openalex.org/W897524868","https://openalex.org/W900993354","https://openalex.org/W1495207358","https://openalex.org/W1872699312","https://openalex.org/W1939882552","https://openalex.org/W1974339500","https://openalex.org/W2012561700","https://openalex.org/W2035521255","https://openalex.org/W2036484499","https://openalex.org/W2053818817","https://openalex.org/W2068095332","https://openalex.org/W2075925826","https://openalex.org/W2078820346","https://openalex.org/W2081056190","https://openalex.org/W2081388731","https://openalex.org/W2092246763","https://openalex.org/W2095609031","https://openalex.org/W2103853614","https://openalex.org/W2106866704","https://openalex.org/W2109071706","https://openalex.org/W2115322217","https://openalex.org/W2118733980","https://openalex.org/W2126900756","https://openalex.org/W2143205289","https://openalex.org/W2145882814","https://openalex.org/W2154652894","https://openalex.org/W2160017075","https://openalex.org/W2166347079","https://openalex.org/W2187999008","https://openalex.org/W2251244142","https://openalex.org/W2401226416","https://openalex.org/W2511265296","https://openalex.org/W2892737606","https://openalex.org/W3006033670","https://openalex.org/W3151369355","https://openalex.org/W6686752415"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W4200355488","https://openalex.org/W2391800119","https://openalex.org/W2595239241","https://openalex.org/W2799181378","https://openalex.org/W2052919063","https://openalex.org/W3003711649","https://openalex.org/W2904173691","https://openalex.org/W4365517254","https://openalex.org/W270947280"],"abstract_inverted_index":{"Text":[0],"compression":[1,98],"is":[2,23,42,73,78,120],"the":[3,7,11,32,44,52,67,97,112,121,153,157],"task":[4],"of":[5,39,91,117,140,144],"identifying":[6],"main":[8],"information":[9,77],"in":[10,31,105,125],"source":[12],"text":[13],"to":[14,24,59,89,110,164],"form":[15],"a":[16,26,55,108,130],"short":[17,179],"single":[18],"sentence.":[19,159],"A":[20],"broad":[21],"approach":[22,41],"find":[25],"path":[27,45],"containing":[28,181],"common":[29],"vertices":[30,139],"word":[33,168],"graph":[34,123,154],"model.":[35],"The":[36,70,115,137,149,171],"first":[37],"issue":[38,72],"this":[40,95,106],"that":[43,74,175],"finding":[46],"algorithm":[47,151],"can":[48],"separate":[49],"words":[50,82],"from":[51,66],"phrase":[53,131],"expressing":[54],"content.":[56],"This":[57],"leads":[58],"create":[60],"new":[61,118],"sentences":[62,180],"having":[63],"different":[64,81],"meaning":[65],"original":[68],"ones.":[69],"second":[71],"when":[75],"an":[76],"expressed":[79],"by":[80],"or":[83],"phrases,":[84],"called":[85],"co-reference":[86],"situations.":[87],"Due":[88],"lacking":[90],"mechanism":[92,145],"for":[93,146],"handling":[94,147],"situation,":[96],"will":[99],"be":[100],"missing":[101],"information.":[102,183],"We":[103,160],"propose":[104],"paper":[107],"method":[109,119,177],"overcome":[111],"above":[113],"issues.":[114],"core":[116],"improved":[122],"model":[124],"which":[126],"each":[127],"vertex":[128],"illustrates":[129],"with":[132,166],"its":[133],"corresponding":[134],"Part-of-Speech":[135],"label.":[136],"intersection":[138],"branches":[141],"are":[142],"results":[143],"co-references.":[148],"compressing":[150],"reduces":[152],"and":[155],"forms":[156],"final":[158],"use":[161],"ROUGE":[162],"measure":[163],"compare":[165],"two":[167],"graph-based":[169],"baselines.":[170],"experiment":[172],"result":[173],"shows":[174],"our":[176],"creates":[178],"rich":[182]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
