{"id":"https://openalex.org/W3010949744","doi":"https://doi.org/10.1109/ialp48816.2019.9037670","title":"Coarse-to-Fine Document Ranking for Multi-Document Reading Comprehension with Answer-Completion","display_name":"Coarse-to-Fine Document Ranking for Multi-Document Reading Comprehension with Answer-Completion","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010949744","doi":"https://doi.org/10.1109/ialp48816.2019.9037670","mag":"3010949744"},"language":"en","primary_location":{"id":"doi:10.1109/ialp48816.2019.9037670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"article","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/A5100773328","display_name":"Hongyu Liu","orcid":"https://orcid.org/0000-0002-4628-6388"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyu Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037738790","display_name":"Shumin Shi","orcid":"https://orcid.org/0000-0003-3436-7575"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shumin Shi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087631670","display_name":"Heyan Huang","orcid":"https://orcid.org/0000-0002-0320-7520"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100773328"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20404652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"407","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7976219654083252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7731932997703552},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6573072671890259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5895379781723022},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.5579394102096558},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5539509057998657},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5512279272079468},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5441194772720337},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5314546823501587},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4836043417453766},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48358267545700073},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4638832211494446},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4201014041900635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34645751118659973},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0650167167186737}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7976219654083252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731932997703552},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6573072671890259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5895379781723022},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.5579394102096558},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5539509057998657},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5512279272079468},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5441194772720337},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5314546823501587},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4836043417453766},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48358267545700073},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4638832211494446},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4201014041900635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34645751118659973},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0650167167186737},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp48816.2019.9037670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2551396370","https://openalex.org/W2788448041","https://openalex.org/W2798586382","https://openalex.org/W2889729765","https://openalex.org/W2890820068","https://openalex.org/W2896457183","https://openalex.org/W2902725986","https://openalex.org/W2913340405","https://openalex.org/W2951534261","https://openalex.org/W2962718483","https://openalex.org/W2962985038","https://openalex.org/W2963301888","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963748441","https://openalex.org/W2963898730","https://openalex.org/W2963957489","https://openalex.org/W3098057198","https://openalex.org/W3103111734","https://openalex.org/W3209042722","https://openalex.org/W4385245566","https://openalex.org/W6729654139","https://openalex.org/W6729938257","https://openalex.org/W6739901393","https://openalex.org/W6746490324","https://openalex.org/W6749101747","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4237547500","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W1570848052"],"abstract_inverted_index":{"Multi-document":[0],"machine":[1],"reading":[2],"comprehension":[3],"(MRC)":[4],"has":[5],"two":[6],"characteristics":[7],"compared":[8],"with":[9,57,119,131],"traditional":[10],"MRC:":[11],"1)":[12],"many":[13],"documents":[14,88],"are":[15,41],"irrelevant":[16],"to":[17,85,97],"the":[18,21,24,50,58,132],"question;":[19],"2)":[20],"length":[22],"of":[23,63],"answer":[25,52,65],"is":[26],"relatively":[27],"longer.":[28],"However,":[29],"in":[30,129],"existing":[31],"models,":[32],"not":[33],"only":[34],"key":[35],"ranking":[36,79],"metrics":[37],"at":[38],"different":[39],"granularity":[40],"ignored,":[42],"but":[43],"also":[44],"few":[45],"current":[46,133],"methods":[47],"can":[48,76],"predict":[49,98],"complete":[51,99],"as":[53],"they":[54],"mainly":[55],"deal":[56],"start":[59],"and":[60,121,126],"end":[61],"token":[62],"each":[64],"equally.":[66],"To":[67],"address":[68],"these":[69],"issues,":[70],"we":[71,92],"propose":[72],"a":[73,116,136],"model":[74,111],"that":[75,109],"fuse":[77],"coarse-to-fine":[78],"processes":[80],"based":[81],"on":[82,124,135],"document":[83],"chunks":[84],"distinguish":[86],"various":[87],"more":[89],"effectively.":[90],"Furthermore,":[91],"incorporate":[93],"an":[94],"answer-completion":[95],"strategy":[96],"answers":[100],"by":[101],"modifying":[102],"loss":[103],"function.":[104],"The":[105],"experimental":[106],"results":[107],"show":[108],"our":[110],"for":[112],"multi-document":[113],"MRC":[114],"makes":[115],"significant":[117],"improvement":[118],"7.4%":[120],"13%":[122],"respectively":[123],"Rouge-L":[125],"BLEU-4":[127],"score,":[128],"contrast":[130],"models":[134],"public":[137],"Chinese":[138],"dataset,":[139],"DuReader.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}