{"id":"https://openalex.org/W3167869661","doi":"https://doi.org/10.1145/3442442.3451379","title":"taka at the FinSBD-3 task: Tables and Figures Extraction using Object Detection Techniques","display_name":"taka at the FinSBD-3 task: Tables and Figures Extraction using Object Detection Techniques","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3167869661","doi":"https://doi.org/10.1145/3442442.3451379","mag":"3167869661"},"language":"en","primary_location":{"id":"doi:10.1145/3442442.3451379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442442.3451379","pdf_url":null,"source":{"id":"https://openalex.org/S4306506652","display_name":"Companion Proceedings of the Web Conference 2021","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3442442.3451379","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040243422","display_name":"Tien Dung Le","orcid":"https://orcid.org/0000-0002-2884-0891"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tien Dung Le","raw_affiliation_strings":["KBC, Belgium"],"affiliations":[{"raw_affiliation_string":"KBC, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040243422"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28729839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9958000183105469,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.991100013256073,"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":0.8283146619796753},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7380083799362183},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6556127071380615},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5846470594406128},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5807517170906067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4950358271598816},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4756621718406677},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4421822130680084},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.426414430141449},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4146432876586914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36900216341018677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8283146619796753},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7380083799362183},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6556127071380615},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5846470594406128},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5807517170906067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950358271598816},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4756621718406677},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4421822130680084},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.426414430141449},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4146432876586914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36900216341018677},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442442.3451379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442442.3451379","pdf_url":null,"source":{"id":"https://openalex.org/S4306506652","display_name":"Companion Proceedings of the Web Conference 2021","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442442.3451379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442442.3451379","pdf_url":null,"source":{"id":"https://openalex.org/S4306506652","display_name":"Companion Proceedings of the Web Conference 2021","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3119562042"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257","https://openalex.org/W1522196789","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"FinSBD-3":[0],"is":[1,94],"a":[2],"shared":[3],"task":[4,20],"organized":[5],"in":[6,76,87,97],"the":[7,10,17,24,55,62,72,81,88,106],"context":[8],"of":[9,27,40,83,108],"1st":[11],"workshop":[12],"on":[13,16,22],"Financial":[14],"Technology":[15],"Web.":[18],"The":[19,103],"focuses":[21],"extracting":[23],"entire":[25],"structure":[26],"noisy":[28],"PDF":[29,89],"financial":[30],"documents":[31],"that":[32,57],"include":[33],"1)":[34],"sentences,":[35],"lists,":[36],"items,":[37],"and":[38,42,46,50,64,85],"organization":[39],"lists":[41],"items;":[43],"2)":[44],"figures":[45,63,84],"tables;":[47],"3)":[48],"headers":[49],"footers.":[51],"This":[52],"paper":[53],"describes":[54],"approach":[56],"allows":[58],"us":[59],"to":[60,79,99],"extract":[61],"tables":[65,86],"using":[66],"their":[67],"visual":[68],"cues.":[69],"We":[70],"applied":[71],"object":[73],"segmentation":[74],"techniques":[75],"image":[77],"processing":[78],"detect":[80],"location":[82],"files.":[90],"A":[91],"post-processing":[92],"method":[93],"then":[95],"executed":[96],"order":[98],"find":[100],"exact":[101],"content.":[102],"result":[104],"shows":[105],"potential":[107],"this":[109],"approach.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}