{"id":"https://openalex.org/W3201441163","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534459","title":"A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding","display_name":"A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201441163","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534459","mag":"3201441163"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5002453567","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-0420-2211"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640834","display_name":"Shiyi Xu","orcid":"https://orcid.org/0000-0003-4158-1051"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyi Xu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011008665","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0003-4819-373X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003608","display_name":"Changjian Wang","orcid":"https://orcid.org/0000-0002-1160-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Wang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440903","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-9743-2034"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415292","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0002-6219-9575"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072973188","display_name":"Jinyan Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyan Qiu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5002453567"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55268836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"7"},"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":0.9987000226974487,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9922999739646912,"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":0.7924361228942871},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7184576392173767},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6741518974304199},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6670718193054199},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6331909894943237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199715733528137},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5702201128005981},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5500166416168213},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.5208806991577148},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5125815272331238},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4580882787704468},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42756009101867676},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35200726985931396},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3262777328491211},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16178447008132935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924361228942871},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7184576392173767},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6741518974304199},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6670718193054199},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6331909894943237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199715733528137},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5702201128005981},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5500166416168213},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.5208806991577148},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5125815272331238},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4580882787704468},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42756009101867676},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35200726985931396},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3262777328491211},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16178447008132935},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1544827683","https://openalex.org/W1821462560","https://openalex.org/W1840435438","https://openalex.org/W1924770834","https://openalex.org/W1978394996","https://openalex.org/W2123442489","https://openalex.org/W2126209950","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2267186426","https://openalex.org/W2516930406","https://openalex.org/W2551396370","https://openalex.org/W2725049817","https://openalex.org/W2734823783","https://openalex.org/W2766371743","https://openalex.org/W2767693128","https://openalex.org/W2769395616","https://openalex.org/W2774514250","https://openalex.org/W2788448041","https://openalex.org/W2887557046","https://openalex.org/W2890744983","https://openalex.org/W2896457183","https://openalex.org/W2898858752","https://openalex.org/W2924461378","https://openalex.org/W2947057128","https://openalex.org/W2949615363","https://openalex.org/W2950199911","https://openalex.org/W2950729111","https://openalex.org/W2962808855","https://openalex.org/W2962985038","https://openalex.org/W2963090765","https://openalex.org/W2963195889","https://openalex.org/W2963301888","https://openalex.org/W2963341956","https://openalex.org/W2963363070","https://openalex.org/W2963403868","https://openalex.org/W2963748441","https://openalex.org/W2963758799","https://openalex.org/W2963918774","https://openalex.org/W2964267515","https://openalex.org/W3020206637","https://openalex.org/W4252222626","https://openalex.org/W4294170691","https://openalex.org/W4294329082","https://openalex.org/W4300822525","https://openalex.org/W4385245566","https://openalex.org/W6632455782","https://openalex.org/W6638523607","https://openalex.org/W6640212811","https://openalex.org/W6678478121","https://openalex.org/W6682691769","https://openalex.org/W6726253136","https://openalex.org/W6729654139","https://openalex.org/W6739901393","https://openalex.org/W6740558922","https://openalex.org/W6745396146","https://openalex.org/W6745742132","https://openalex.org/W6745819962","https://openalex.org/W6747808108","https://openalex.org/W6749101747","https://openalex.org/W6755207826","https://openalex.org/W6760727467"],"related_works":["https://openalex.org/W2391800119","https://openalex.org/W2595239241","https://openalex.org/W2799181378","https://openalex.org/W2052919063","https://openalex.org/W3003711649","https://openalex.org/W2904173691","https://openalex.org/W4365517254","https://openalex.org/W270947280","https://openalex.org/W4288267738","https://openalex.org/W2964413124"],"abstract_inverted_index":{"Open-domain":[0],"question":[1,8,124,177,183],"answering":[2,178,184],"extract":[3],"the":[4,116,181],"answer":[5],"for":[6,39,54,146],"a":[7,10,36,87,135],"from":[9],"large":[11],"scale":[12],"corpus,":[13],"which":[14,95,138],"typically":[15],"employs":[16],"ranker":[17,90,152],"to":[18,114],"filter":[19],"irrelevant":[20,100],"paragraphs.":[21],"As":[22],"traditional":[23],"retrieval":[24],"approaches":[25],"based":[26,119],"on":[27,74,91,120,153,165,180],"statistical":[28],"characteristics,":[29],"neural":[30,63,89,104,151],"ranking":[31,167,170],"model":[32,64],"has":[33],"gradually":[34],"become":[35],"popular":[37],"choice":[38],"filtering":[40,55],"as":[41,172,174],"its":[42],"capacity":[43],"of":[44,59,67,76,82,123,157],"semantic":[45],"features":[46],"extraction.":[47],"But":[48],"massive":[49],"corpus":[50],"request":[51],"high":[52],"performance":[53],"efficiency.":[56],"Thus,":[57],"acceleration":[58,168],"textual":[60],"encoding":[61,94],"by":[62,79],"is":[65],"worthy":[66],"attention":[68],"and":[69,125,141,169],"there":[70],"are":[71],"many":[72],"achievements":[73],"various":[75],"perspectives.":[77],"Inspired":[78],"reading":[80],"habit":[81],"human,":[83],"this":[84],"paper":[85],"presents":[86],"novel":[88],"sentence-level":[92,130],"jump":[93,131],"can":[96,139],"better":[97],"skip":[98],"those":[99],"sentences":[101,145],"than":[102],"existing":[103],"models.":[105],"When":[106],"people":[107],"browsing":[108],"text":[109],"with":[110],"questions,":[111],"they":[112],"tend":[113],"find":[115],"key":[117,144],"sentence":[118],"heuristic":[121],"information":[122],"current":[126],"reading.":[127],"And":[128],"our":[129,150,160],"encoder":[132],"works":[133],"in":[134],"similar":[136],"way":[137],"effectively":[140],"accurately":[142],"locate":[143],"question.":[147],"We":[148],"evaluate":[149],"long":[154],"paragraph":[155],"setting":[156],"Quasar-T":[158],"dataset,":[159],"method":[161],"achieves":[162],"significant":[163],"improvements":[164],"both":[166],"accuracy,":[171],"well":[173],"surpass":[175],"other":[176],"baselines":[179],"whole":[182],"results.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
