{"id":"https://openalex.org/W2898843412","doi":"https://doi.org/10.1609/aaai.v33i01.3301289","title":"DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval","display_name":"DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2898843412","doi":"https://doi.org/10.1609/aaai.v33i01.3301289","mag":"2898843412"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.3301289","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301289","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3797/3675","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3797/3675","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042237237","display_name":"Zhiwen Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhiwen Tang","raw_affiliation_strings":["Georgetown University"],"affiliations":[{"raw_affiliation_string":"Georgetown University","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002485529","display_name":"Grace Hui Yang","orcid":"https://orcid.org/0000-0001-6095-8358"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grace Hui Yang","raw_affiliation_strings":["Georgetown University*"],"affiliations":[{"raw_affiliation_string":"Georgetown University*","institution_ids":["https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042237237"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":1.4631,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85986831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"33","issue":"01","first_page":"289","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778995633125305},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.734616219997406},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7252882719039917},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6930727958679199},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6700925827026367},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6485154628753662},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6074019074440002},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5217267274856567},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5065549612045288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37193095684051514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34016188979148865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10933390259742737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08043280243873596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778995633125305},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.734616219997406},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7252882719039917},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6930727958679199},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6700925827026367},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6485154628753662},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6074019074440002},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5217267274856567},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5065549612045288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37193095684051514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34016188979148865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10933390259742737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08043280243873596},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.3301289","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301289","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3797/3675","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.00606","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.00606","pdf_url":"https://arxiv.org/pdf/1811.00606","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":"doi:10.1609/aaai.v33i01.3301289","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301289","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3797/3675","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6978028572","display_name":null,"funder_award_id":"IIS-145374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898843412.pdf","grobid_xml":"https://content.openalex.org/works/W2898843412.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W40273907","https://openalex.org/W299870200","https://openalex.org/W1522301498","https://openalex.org/W1530210183","https://openalex.org/W1557074680","https://openalex.org/W1832693441","https://openalex.org/W1973435495","https://openalex.org/W2045738181","https://openalex.org/W2069870183","https://openalex.org/W2100626830","https://openalex.org/W2100873065","https://openalex.org/W2113640060","https://openalex.org/W2125186487","https://openalex.org/W2135220386","https://openalex.org/W2136189984","https://openalex.org/W2136542423","https://openalex.org/W2137320444","https://openalex.org/W2143331230","https://openalex.org/W2153235818","https://openalex.org/W2153579005","https://openalex.org/W2155482025","https://openalex.org/W2156841666","https://openalex.org/W2158231614","https://openalex.org/W2163605009","https://openalex.org/W2184124078","https://openalex.org/W2186845332","https://openalex.org/W2286300105","https://openalex.org/W2295908047","https://openalex.org/W2398009937","https://openalex.org/W2429667833","https://openalex.org/W2536015822","https://openalex.org/W2539671052","https://openalex.org/W2618530766","https://openalex.org/W2624924938","https://openalex.org/W2648699835","https://openalex.org/W2752382061","https://openalex.org/W2766213870","https://openalex.org/W2766284073","https://openalex.org/W2793710388","https://openalex.org/W2799232306","https://openalex.org/W2949989304","https://openalex.org/W2950133940","https://openalex.org/W2950702947","https://openalex.org/W2951028592","https://openalex.org/W2952997929","https://openalex.org/W2964121744","https://openalex.org/W3098851962","https://openalex.org/W4234292174","https://openalex.org/W4252076394","https://openalex.org/W4294170691","https://openalex.org/W4297567729","https://openalex.org/W6603899496","https://openalex.org/W6631190155","https://openalex.org/W6633119129","https://openalex.org/W6666761814","https://openalex.org/W6674877832","https://openalex.org/W6674932894","https://openalex.org/W6677166381","https://openalex.org/W6678589667","https://openalex.org/W6679944713","https://openalex.org/W6681369196","https://openalex.org/W6696328460","https://openalex.org/W6697228789","https://openalex.org/W6718160712","https://openalex.org/W6728897288","https://openalex.org/W6745411385","https://openalex.org/W6749547512","https://openalex.org/W6948487726"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Most":[0],"neural":[1],"Information":[2],"Retrieval":[3],"(Neu-IR)":[4],"models":[5,78,117],"derive":[6],"query-to-document":[7,34],"ranking":[8,75],"scores":[9],"based":[10],"on":[11,118],"term-level":[12],"matching.":[13],"Inspired":[14],"by":[15],"TileBars,":[16],"a":[17,28,67,87,98],"classical":[18],"term":[19],"distribution":[20],"visualization":[21],"method,":[22],"in":[23,86],"this":[24],"paper,":[25],"we":[26],"propose":[27],"novel":[29],"Neu-IR":[30,68,116],"model":[31],"that":[32],"handles":[33],"matching":[35,103],"at":[36,83],"the":[37,46,52,55,58,73,79,94,102,122],"subtopic":[38],"and":[39,57,60,100,108,130],"higher":[40],"levels.":[41],"Our":[42],"system":[43],"first":[44],"splits":[45],"documents":[47],"into":[48,66],"topical":[49],"segments,":[50,59],"\u201cvisualizes\u201d":[51],"matchings":[53],"between":[54],"query":[56],"then":[61],"feeds":[62],"an":[63],"interaction":[64],"matrix":[65],"model,":[69],"DeepTileBars,":[70],"to":[71],"obtain":[72],"final":[74],"scores.":[76],"DeepTileBars":[77,112],"relevance":[80],"signals":[81],"occurring":[82],"different":[84],"granularities":[85],"document\u2019s":[88],"topic":[89],"hierarchy.":[90],"It":[91],"better":[92],"captures":[93],"discourse":[95],"structure":[96],"of":[97],"document":[99],"thus":[101],"patterns.":[104],"Although":[105],"its":[106],"design":[107],"implementation":[109],"are":[110],"light-weight,":[111],"outperforms":[113],"other":[114],"state-of-the-art":[115],"benchmark":[119],"datasets":[120],"including":[121],"Text":[123],"REtrieval":[124],"Conference":[125],"(TREC)":[126],"2010-2012":[127],"Web":[128],"Tracks":[129],"LETOR":[131],"4.0.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-11-09T00:00:00"}