{"id":"https://openalex.org/W2900099222","doi":"https://doi.org/10.1145/3281375.3281391","title":"An approach to estimating cited sentences in academic papers using Doc2vec","display_name":"An approach to estimating cited sentences in academic papers using Doc2vec","publication_year":2018,"publication_date":"2018-09-25","ids":{"openalex":"https://openalex.org/W2900099222","doi":"https://doi.org/10.1145/3281375.3281391","mag":"2900099222"},"language":"en","primary_location":{"id":"doi:10.1145/3281375.3281391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3281375.3281391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Management of Digital EcoSystems","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/A5017486507","display_name":"Shunsuke Tanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Tanabe","raw_affiliation_strings":["Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102050481","display_name":"Manabu Ohta","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Ohta","raw_affiliation_strings":["Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087434029","display_name":"Atsuhiro Takasu","orcid":"https://orcid.org/0000-0002-9061-7949"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuhiro Takasu","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102957694","display_name":"Jun Adachi","orcid":"https://orcid.org/0000-0001-5553-0402"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Adachi","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.13464626,"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":"118","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9934999942779541,"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":0.8239117860794067},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6741259098052979},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5612211227416992},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47589123249053955},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47575920820236206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3899373412132263},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21155202388763428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239117860794067},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6741259098052979},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5612211227416992},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47589123249053955},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47575920820236206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3899373412132263},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21155202388763428}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3281375.3281391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3281375.3281391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Management of Digital EcoSystems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5658277984","display_name":"Cost-Sensitive Information Extraction and Cyber-Physical Browsing Support for Academic Papers","funder_award_id":"18K11989","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2008479441","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W4317642157","https://openalex.org/W2363440148","https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W4239542068","https://openalex.org/W1974749013","https://openalex.org/W134931362","https://openalex.org/W2392760275","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Most":[0],"academic":[1,103],"authors":[2,33],"refer":[3],"to":[4,27,51,58,60,65,108,147,171],"the":[5,13,39,43,49,62,67,79,87,91,109,117,122,125,132,138,142,150,155,173,176,181,192,200,205,209],"literature":[6,110],"when":[7,25],"introducing":[8],"their":[9,17],"proposed":[10,156],"methods":[11],"and":[12,52,120,130,164],"data":[14],"used":[15],"in":[16,101,124,190],"experiments.":[18],"These":[19],"references":[20,107],"can":[21,54],"be":[22,55],"very":[23],"helpful":[24],"trying":[26],"understand":[28],"a":[29,75,83,165,196],"paper;":[30],"however,":[31],"some":[32],"do":[34],"not":[35],"always":[36],"state":[37],"clearly":[38],"specific":[40],"part":[41,136],"of":[42,82,93,149,175,195,208],"referenced":[44,84],"work":[45,85],"they":[46],"are":[47],"referring":[48],"reader":[50],"it":[53],"quite":[56],"laborintensive":[57],"have":[59],"read":[61],"whole":[63],"document":[64],"identify":[66],"relevant":[68],"information.":[69],"In":[70],"this":[71,95,187],"paper,":[72],"we":[73,158],"propose":[74],"method":[76],"for":[77],"estimating":[78,191],"appropriate":[80,134,193],"parts":[81,178,194,202],"as":[86,111,137,199],"\"cited":[88],"parts,\"":[89],"with":[90],"aim":[92],"reducing":[94],"burden.":[96],"We":[97,114],"first":[98],"extract":[99],"sentences":[100,119,123],"an":[102],"paper":[104,198],"that":[105,140,148,168,186],"cites":[106],"\"citing":[112],"sentences.\"":[113],"then":[115],"vectorize":[116],"citing":[118,151,210],"all":[121],"cited":[126,135,177,197,201],"papers":[127,163],"using":[128,161],"doc2vec":[129],"estimate":[131],"most":[133,143],"sentence":[139],"has":[141],"similar":[144],"feature":[145],"vector":[146],"sentence.":[152],"To":[153],"evaluate":[154,172],"method,":[157],"conducted":[159],"experiments":[160,184],"English-language":[162],"questionnaire":[166],"survey":[167],"asked":[169],"subjects":[170],"appropriateness":[174],"estimated":[179],"by":[180],"method.":[182],"The":[183],"showed":[185],"approach's":[188],"success":[189],"depended":[203],"on":[204],"citation":[206],"intention":[207],"sentences.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}