{"id":"https://openalex.org/W4283160522","doi":"https://doi.org/10.1145/3511095.3531268","title":"Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents","display_name":"Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents","publication_year":2022,"publication_date":"2022-06-20","ids":{"openalex":"https://openalex.org/W4283160522","doi":"https://doi.org/10.1145/3511095.3531268"},"language":"en","primary_location":{"id":"doi:10.1145/3511095.3531268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511095.3531268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM Conference on Hypertext and Social Media","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.00152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022118268","display_name":"Sayar Ghosh Roy","orcid":"https://orcid.org/0000-0002-9885-8181"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sayar Ghosh Roy","raw_affiliation_strings":["Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020610255","display_name":"Anshul Padhi","orcid":"https://orcid.org/0000-0001-9620-9850"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anshul Padhi","raw_affiliation_strings":["Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062820369","display_name":"Risubh Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Risubh Jain","raw_affiliation_strings":["Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046755750","display_name":"Manish Gupta","orcid":"https://orcid.org/0000-0002-2843-3110"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]},{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Gupta","raw_affiliation_strings":["Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India and Microsoft, India"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India and Microsoft, India","institution_ids":["https://openalex.org/I64189192","https://openalex.org/I4210162141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022118268"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.276,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61446993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9950000047683716,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.9518052339553833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8411560654640198},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.8240138292312622},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6943421363830566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5993106365203857},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5823659896850586},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5422526001930237},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4947371184825897},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48011040687561035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4684562683105469},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4670385718345642},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.1026645302772522}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9518052339553833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411560654640198},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.8240138292312622},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6943421363830566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993106365203857},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5823659896850586},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5422526001930237},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4947371184825897},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48011040687561035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4684562683105469},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4670385718345642},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.1026645302772522},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3511095.3531268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511095.3531268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM Conference on Hypertext and Social Media","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2301.00152","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.00152","pdf_url":"https://arxiv.org/pdf/2301.00152","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.00152","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.00152","pdf_url":"https://arxiv.org/pdf/2301.00152","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1525595230","https://openalex.org/W1603598191","https://openalex.org/W1924770834","https://openalex.org/W1970777322","https://openalex.org/W2056832611","https://openalex.org/W2069870183","https://openalex.org/W2250539671","https://openalex.org/W2251741954","https://openalex.org/W2338950854","https://openalex.org/W2472257696","https://openalex.org/W2507324087","https://openalex.org/W2588251575","https://openalex.org/W2604926689","https://openalex.org/W2784720878","https://openalex.org/W2890732265","https://openalex.org/W2896457183","https://openalex.org/W2903664715","https://openalex.org/W2924690340","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2955554038","https://openalex.org/W2962785754","https://openalex.org/W2962965405","https://openalex.org/W2963029801","https://openalex.org/W2963607157","https://openalex.org/W2965373594","https://openalex.org/W2970419734","https://openalex.org/W2985573020","https://openalex.org/W2997920211","https://openalex.org/W2998054304","https://openalex.org/W3007812914","https://openalex.org/W3032861513","https://openalex.org/W3034238904","https://openalex.org/W3034255912","https://openalex.org/W3034999214","https://openalex.org/W3035050380","https://openalex.org/W3037530970","https://openalex.org/W3093330054","https://openalex.org/W3094243077","https://openalex.org/W3101913037","https://openalex.org/W3102211127","https://openalex.org/W3102755086","https://openalex.org/W3137517444","https://openalex.org/W3156413894","https://openalex.org/W3161694370","https://openalex.org/W3176693244","https://openalex.org/W4238846128","https://openalex.org/W4239019441","https://openalex.org/W4322614701","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Multiple":[0],"studies":[1],"have":[2],"focused":[3],"on":[4],"predicting":[5],"the":[6,20,28,63,81,88],"prospective":[7],"popularity":[8,49,67,103,137,147,159],"of":[9,22,30,34,83,95,132],"an":[10,117],"online":[11,37,77],"document":[12],"as":[13,51,116],"a":[14,52,107,125,143],"whole,":[15],"without":[16],"paying":[17],"attention":[18],"to":[19,100],"contributions":[21],"its":[23],"individual":[24],"parts.":[25],"We":[26,46,105,161],"introduce":[27],"task":[29],"proactively":[31],"forecasting":[32,50],"popularities":[33],"sentences":[35,73],"within":[36],"news":[38,78],"documents":[39],"solely":[40],"utilizing":[41],"their":[42],"natural":[43],"language":[44],"content.":[45],"model":[47,128],"sentence-specific":[48,136],"sequence":[53],"regression":[54],"task.":[55,119],"For":[56],"training":[57],"our":[58,84,140,166],"models,":[59],"we":[60],"curate":[61],"InfoPop,":[62],"first":[64,89],"dataset":[65,90],"containing":[66],"labels":[68],"for":[69,134],"over":[70,75],"1.7":[71],"million":[72],"from":[74,155],"50,000":[76],"documents.":[79],"To":[80],"best":[82],"knowledge,":[85],"this":[86],"is":[87],"automatically":[91],"created":[92],"using":[93],"streams":[94],"incoming":[96],"search":[97],"engine":[98],"queries":[99],"generate":[101],"sentence-level":[102],"annotations.":[104],"propose":[106],"novel":[108],"transfer":[109,153],"learning":[110,154],"approach":[111],"involving":[112],"sentence":[113],"salience":[114,149,156],"prediction":[115,157],"auxiliary":[118],"Our":[120],"proposed":[121],"technique":[122],"coupled":[123],"with":[124],"BERT-based":[126],"neural":[127],"exceeds":[129],"nDCG":[130],"values":[131],"0.8":[133],"proactive":[135],"forecasting.":[138,160],"Notably,":[139],"study":[141],"presents":[142],"non-trivial":[144],"takeaway:":[145],"though":[146],"and":[148,164],"are":[150],"different":[151],"concepts,":[152],"enhances":[158],"release":[162],"InfoPop":[163],"make":[165],"code":[167],"publicly":[168],"available1.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}