{"id":"https://openalex.org/W4405094932","doi":"https://doi.org/10.48550/arxiv.2412.04026","title":"M$^{3}$D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction","display_name":"M$^{3}$D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405094932","doi":"https://doi.org/10.48550/arxiv.2412.04026"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.04026","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04026","pdf_url":"https://arxiv.org/pdf/2412.04026","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.04026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074587026","display_name":"Jiang Liu","orcid":"https://orcid.org/0000-0002-5815-135X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922939","display_name":"Bobo Li","orcid":"https://orcid.org/0000-0002-0513-5540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bobo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964893","display_name":"Xinran Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xinran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027421488","display_name":"Na Yang","orcid":"https://orcid.org/0009-0007-2471-6344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Na","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055815455","display_name":"Hao Fei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062987450","display_name":"Mingyao Zhang","orcid":"https://orcid.org/0000-0003-3316-5509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mingyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325881","display_name":"Fei Li","orcid":"https://orcid.org/0000-0003-1816-1761"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801149","display_name":"Donghong Ji","orcid":"https://orcid.org/0000-0003-4020-983X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Donghong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9585000276565552,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9585000276565552,"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":0.9187999963760376,"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/natural-language-processing","display_name":"Natural language processing","score":0.5125791430473328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48867037892341614},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4796096086502075},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41650599241256714},{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.41225767135620117},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3767353296279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36104220151901245},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1825205385684967},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.07383367419242859}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5125791430473328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48867037892341614},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4796096086502075},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41650599241256714},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.41225767135620117},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3767353296279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36104220151901245},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1825205385684967},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.07383367419242859},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.04026","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04026","pdf_url":"https://arxiv.org/pdf/2412.04026","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.04026","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.04026","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.04026","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04026","pdf_url":"https://arxiv.org/pdf/2412.04026","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1453686608","display_name":null,"funder_award_id":"62176187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4405094932.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1546533203","https://openalex.org/W2054080977","https://openalex.org/W1511554945","https://openalex.org/W2015439768","https://openalex.org/W4361008414","https://openalex.org/W4396854307","https://openalex.org/W3040823075","https://openalex.org/W2092147963","https://openalex.org/W2620765995","https://openalex.org/W2368651715"],"abstract_inverted_index":{"Multimodal":[0],"information":[1,16,19,151,164],"extraction":[2,108],"(IE)":[3],"tasks":[4,99,197],"have":[5,12],"attracted":[6],"increasing":[7],"attention":[8,38],"because":[9],"many":[10],"studies":[11],"shown":[13],"that":[14,229],"multimodal":[15,23,41,55,60,81,97,126,141,150,240],"benefits":[17],"text":[18,76],"extraction.":[20],"However,":[21],"existing":[22],"IE":[24,31,42,98,127,142],"datasets":[25],"mainly":[26],"focus":[27],"on":[28,195],"sentence-level":[29],"image-facilitated":[30],"in":[32,48,160,198],"English":[33,90,199],"text,":[34],"and":[35,43,77,91,109,148,193,200],"pay":[36],"little":[37],"to":[39,50,79,177,219],"video-based":[40],"fine-grained":[44],"visual":[45,110],"grounding.":[46,111],"Therefore,":[47],"order":[49],"promote":[51,233],"the":[52,68,123,179,221,234,237],"development":[53,235],"of":[54,125,191,223,236,239],"IE,":[56],"we":[57,136,169,214],"constructed":[58],"a":[59,131,153,171,206],"multilingual":[61],"multitask":[62],"dataset,":[63,135],"named":[64],"M$^{3}$D,":[65],"which":[66,204],"has":[67],"following":[69],"features:":[70],"(1)":[71],"It":[72,84,94],"contains":[73],"paired":[74],"document-level":[75],"video":[78],"enrich":[80],"information;":[82],"(2)":[83],"supports":[85],"two":[86],"widely-used":[87],"languages,":[88],"namely":[89],"Chinese;":[92],"(3)":[93],"includes":[95],"more":[96,216],"such":[100],"as":[101],"entity":[102,104],"recognition,":[103],"chain":[105],"extraction,":[106],"relation":[107],"In":[112,212],"addition,":[113,213],"our":[114,134,224,230],"dataset":[115],"introduces":[116],"an":[117,138,188],"unexplored":[118],"theme,":[119],"i.e.,":[120],"biography,":[121],"enriching":[122],"domains":[124],"resources.":[128],"To":[129],"establish":[130],"benchmark":[132],"for":[133,209],"propose":[137],"innovative":[139],"hierarchical":[140],"model.":[143],"This":[144],"model":[145,186],"effectively":[146],"leverages":[147],"integrates":[149],"through":[152],"Denoised":[154],"Feature":[155],"Fusion":[156],"Module":[157,175],"(DFFM).":[158],"Furthermore,":[159],"non-ideal":[161],"scenarios,":[162],"modal":[163],"is":[165],"often":[166],"incomplete.":[167],"Thus,":[168],"designed":[170],"Missing":[172],"Modality":[173],"Construction":[174],"(MMCM)":[176],"alleviate":[178],"issues":[180],"caused":[181],"by":[182],"missing":[183],"modalities.":[184],"Our":[185],"achieved":[187],"average":[189],"performance":[190],"53.80%":[192],"53.77%":[194],"four":[196],"Chinese":[201],"datasets,":[202],"respectively,":[203],"set":[205],"reasonable":[207],"standard":[208],"subsequent":[210],"research.":[211],"conducted":[215],"analytical":[217],"experiments":[218],"verify":[220],"effectiveness":[222],"proposed":[225],"module.":[226],"We":[227],"believe":[228],"work":[231],"can":[232],"field":[238],"IE.":[241]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2024-12-07T00:00:00"}