{"id":"https://openalex.org/W3156948459","doi":null,"title":"Unsupervised Approach to Multilingual User Comments Summarization.","display_name":"Unsupervised Approach to Multilingual User Comments Summarization.","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3156948459","mag":"3156948459"},"language":"en","primary_location":{"id":"mag:3156948459","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/2021.hackashop-1.13.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Conference of the European Chapter of the Association for Computational Linguistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5002299384","display_name":"Ale\u0161 \u017dagar","orcid":"https://orcid.org/0000-0002-4922-1547","observed_orcids":["https://orcid.org/0000-0002-4922-1547"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ale\u0161 \u017dagar","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4922-1547","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020021079","display_name":"Marko Robnik\u2010\u0160ikonja","orcid":"https://orcid.org/0000-0002-1232-3320","observed_orcids":["https://orcid.org/0000-0002-1232-3320"]},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Marko Robnik\u2010\u0160ikonja","raw_affiliation_strings":["University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0002-1232-3320","affiliations":[{"raw_affiliation_string":"University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0932,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22295542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.8687000274658203,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.8687000274658203,"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":0.10029999911785126,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.01679999940097332,"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/unsupervised-summarization","display_name":"unsupervised summarization","score":0.8849999904632568},{"id":"https://openalex.org/keywords/multilingual-summarization","display_name":"multilingual summarization","score":0.9440000057220459},{"id":"https://openalex.org/keywords/extractive-summarization","display_name":"extractive summarization","score":0.9549999833106995},{"id":"https://openalex.org/keywords/sentence-representation","display_name":"sentence representation","score":0.734000027179718},{"id":"https://openalex.org/keywords/news-summarization","display_name":"news summarization","score":0.8339999914169312},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.7289999723434448},{"id":"https://openalex.org/keywords/online-comments","display_name":"online comments","score":0.6579999923706055}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9754422903060913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.872341513633728},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.7695688605308533},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.7640414237976074},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.584256112575531},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.583148181438446},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5553023815155029},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5117018222808838},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44210317730903625},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4395340383052826},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4337886869907379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41756555438041687},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09985315799713135},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3156948459","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/2021.hackashop-1.13.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Conference of the European Chapter of the Association for Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1525595230","https://openalex.org/W1578320517","https://openalex.org/W1854214752","https://openalex.org/W2003184546","https://openalex.org/W2020345959","https://openalex.org/W2033839684","https://openalex.org/W2062343716","https://openalex.org/W2110693578","https://openalex.org/W2132022337","https://openalex.org/W2161356093","https://openalex.org/W2250539671","https://openalex.org/W2626778328","https://openalex.org/W2733964180","https://openalex.org/W2769280657","https://openalex.org/W2806659161","https://openalex.org/W2889326414","https://openalex.org/W2963341956","https://openalex.org/W3035050380","https://openalex.org/W3037109418","https://openalex.org/W3045803793","https://openalex.org/W3080314537","https://openalex.org/W3093284009","https://openalex.org/W3099286868","https://openalex.org/W3102489149","https://openalex.org/W3102645206","https://openalex.org/W3102861325","https://openalex.org/W3104257895","https://openalex.org/W3114537677"],"related_works":["https://openalex.org/W6912625593","https://openalex.org/W4327644043","https://openalex.org/W2996104207","https://openalex.org/W4285734531","https://openalex.org/W2576265591","https://openalex.org/W2016181719","https://openalex.org/W2978398482","https://openalex.org/W2620776802","https://openalex.org/W2778079123","https://openalex.org/W7140085403"],"abstract_inverted_index":{"User":[0],"commenting":[1],"is":[2,55],"a":[3,12,85],"valuable":[4],"feature":[5],"of":[6,33,52,89,99,131],"many":[7],"news":[8,119],"outlets,":[9],"enabling":[10,17],"them":[11],"contact":[13],"with":[14,92,105],"readers":[15,18],"and":[16,26,43,60,120,126],"to":[19,38,79],"express":[20],"their":[21],"opinion,":[22],"provide":[23],"different":[24,100,106],"viewpoints,":[25],"even":[27],"complementary":[28],"information.":[29,46],"Yet,":[30],"large":[31],"volumes":[32],"user":[34,53,80],"comments":[35,54,81],"are":[36,64,115],"hard":[37],"filter,":[39],"let":[40],"alone":[41],"read":[42],"extract":[44],"relevant":[45],"The":[47,123],"research":[48],"on":[49],"the":[50,111,116,132],"summarization":[51,62,95,107],"still":[56],"in":[57,118],"its":[58],"infancy,":[59],"human-created":[61],"datasets":[63],"scarce,":[65],"especially":[66],"for":[67,135],"less-resourced":[68],"languages.":[69,137],"To":[70],"address":[71],"this":[72],"issue,":[73],"we":[74],"propose":[75],"an":[76],"unsupervised":[77],"approach":[78],"summarization,":[82],"which":[83],"uses":[84],"modern":[86],"multilingual":[87],"representation":[88,102],"sentences":[90],"together":[91],"standard":[93],"extractive":[94],"techniques.":[96],"Our":[97],"comparison":[98],"sentence":[101],"approaches":[103,108],"coupled":[104],"shows":[109],"that":[110],"most":[112],"successful":[113],"combinations":[114],"same":[117],"comment":[121],"summarization.":[122],"empirical":[124],"results":[125],"presented":[127],"visualisation":[128],"show":[129],"usefulness":[130],"proposed":[133],"methodology":[134],"several":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-04-26T00:00:00"}