{"id":"https://openalex.org/W2055381611","doi":"https://doi.org/10.1109/icip.2012.6467260","title":"A robust multivariate reranking algorithm for Question Answering enrichment","display_name":"A robust multivariate reranking algorithm for Question Answering enrichment","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2055381611","doi":"https://doi.org/10.1109/icip.2012.6467260","mag":"2055381611"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6467260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101810463","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-5159-5954"},"institutions":[{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB","IN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Central Research Institute, Huawei Technologies Co., Ltd","Central Research Institute, Huawei Technologies Company Limited, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Institute, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210108585","https://openalex.org/I4210160618"]},{"raw_affiliation_string":"Central Research Institute, Huawei Technologies Company Limited, India","institution_ids":["https://openalex.org/I4210108585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB","IN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Central Research Institute, Huawei Technologies Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Institute, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210108585","https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391415","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0001-6853-8278"},"institutions":[{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB","IN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Central Research Institute, Huawei Technologies Co., Ltd","Central Research Institute, Huawei Technologies Company Limited, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Institute, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210108585","https://openalex.org/I4210160618"]},{"raw_affiliation_string":"Central Research Institute, Huawei Technologies Company Limited, India","institution_ids":["https://openalex.org/I4210108585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112149353","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0003-1289-2758"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1917","last_page":"1920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8073273301124573},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.689408540725708},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5994537472724915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5811577439308167},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.557606041431427},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.5315244793891907},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4504448473453522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43908488750457764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4261147379875183},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.42090851068496704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095752239227295},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10904455184936523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073273301124573},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.689408540725708},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5994537472724915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5811577439308167},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.557606041431427},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.5315244793891907},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4504448473453522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43908488750457764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4261147379875183},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.42090851068496704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095752239227295},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10904455184936523},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2012.6467260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W182483972","https://openalex.org/W1678356000","https://openalex.org/W1980949147","https://openalex.org/W1981673271","https://openalex.org/W2025356973","https://openalex.org/W2026355154","https://openalex.org/W2026489683","https://openalex.org/W2061308196","https://openalex.org/W2090254904","https://openalex.org/W2156662028","https://openalex.org/W6666130774"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907","https://openalex.org/W25098770"],"abstract_inverted_index":{"Cognitive":[0],"research":[1],"indicates":[2],"that":[3,98],"multimedia":[4,25,84],"information":[5,10],"have":[6],"benefits":[7],"over":[8],"text-only":[9],"by":[11,91],"means":[12],"of":[13,79,136,142],"intuitive":[14],"and":[15,35,63,81,88,104,120],"vivid":[16],"expression.":[17],"In":[18],"this":[19,114],"paper,":[20],"we":[21,39],"introduce":[22],"a":[23,41,48,61,77,133],"novel":[24],"Question":[26],"Answering":[27],"approach":[28,68],"to":[29,100,107,122],"enrich":[30],"text":[31,109,112],"answers":[32],"with":[33,124],"image":[34,103],"video":[36,105],"information.":[37,59],"Especially,":[38],"propose":[40],"robust":[42],"multivariate":[43],"reranking":[44,92],"algorithm":[45],"which":[46,76],"adopts":[47],"squared":[49],"hinge":[50],"loss":[51],"function":[52],"for":[53,75],"learning":[54],"ranking":[55],"functions":[56],"from":[57,95],"preference":[58],"Given":[60],"question":[62],"the":[64,140],"community-contributed":[65],"answer,":[66],"our":[67,143],"determines":[69],"whether":[70],"it":[71],"should":[72],"perform":[73],"enrichment,":[74],"list":[78],"relevant":[80],"high-quality":[82],"web-scale":[83],"data":[85,106],"are":[86],"enriched":[87],"ranked":[89],"automatically":[90],"algorithm.":[93],"Different":[94],"some":[96],"efforts":[97],"attempt":[99],"directly":[101],"use":[102],"replace":[108],"answers,":[110],"enriching":[111],"in":[113],"way":[115],"may":[116],"be":[117],"more":[118,125],"feasible":[119],"useful":[121],"deal":[123],"complex":[126],"questions.":[127],"The":[128],"empirical":[129],"experiments":[130],"conducted":[131],"on":[132],"wide":[134],"variety":[135],"daily":[137],"questions":[138],"show":[139],"effectiveness":[141],"approach.":[144]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}