{"id":"https://openalex.org/W3123856867","doi":"https://doi.org/10.1007/978-3-030-72113-8_16","title":"Mitigating the Position Bias of Transformer Models in Passage Re-ranking","display_name":"Mitigating the Position Bias of Transformer Models in Passage Re-ranking","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123856867","doi":"https://doi.org/10.1007/978-3-030-72113-8_16","mag":"3123856867"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-72113-8_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72113-8_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5089466895","display_name":"Sebastian Hofst\u00e4tter","orcid":"https://orcid.org/0009-0006-1229-2612"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Sebastian Hofst\u00e4tter","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058519912","display_name":"Aldo Lipani","orcid":"https://orcid.org/0000-0002-3643-6493"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aldo Lipani","raw_affiliation_strings":["University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005875282","display_name":"Sophia Althammer","orcid":"https://orcid.org/0000-0001-9134-3815"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sophia Althammer","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028806795","display_name":"Markus Zlabinger","orcid":"https://orcid.org/0000-0003-2733-3043"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Zlabinger","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020665735","display_name":"Allan Hanbury","orcid":"https://orcid.org/0000-0002-7149-5843"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Allan Hanbury","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089466895"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.5867,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93799805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"253"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8504588007926941},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.8198786973953247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8077132701873779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228545904159546},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6091992855072021},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6058534383773804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6037728190422058},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5679717063903809},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4664686620235443},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4253143072128296},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34906911849975586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13272058963775635}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8504588007926941},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.8198786973953247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077132701873779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228545904159546},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6091992855072021},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6058534383773804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6037728190422058},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5679717063903809},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4664686620235443},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4253143072128296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34906911849975586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13272058963775635},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-72113-8_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72113-8_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2038531350","https://openalex.org/W2250539671","https://openalex.org/W2411735541","https://openalex.org/W2469819362","https://openalex.org/W2483215953","https://openalex.org/W2537949445","https://openalex.org/W2594475271","https://openalex.org/W2626778328","https://openalex.org/W2648699835","https://openalex.org/W2740321901","https://openalex.org/W2798617936","https://openalex.org/W2798665661","https://openalex.org/W2888161220","https://openalex.org/W2896457183","https://openalex.org/W2899771611","https://openalex.org/W2901725278","https://openalex.org/W2940927814","https://openalex.org/W2951286828","https://openalex.org/W2951534261","https://openalex.org/W2951977278","https://openalex.org/W2953163841","https://openalex.org/W2954217339","https://openalex.org/W2954475589","https://openalex.org/W2961394393","https://openalex.org/W2962685807","https://openalex.org/W2962736243","https://openalex.org/W2962809918","https://openalex.org/W2962843521","https://openalex.org/W2963140463","https://openalex.org/W2963644680","https://openalex.org/W2963691697","https://openalex.org/W2963748441","https://openalex.org/W2963879260","https://openalex.org/W2963925437","https://openalex.org/W2963969878","https://openalex.org/W2964044490","https://openalex.org/W2970019270","https://openalex.org/W2970211217","https://openalex.org/W2970550739","https://openalex.org/W2971209824","https://openalex.org/W2978017171","https://openalex.org/W2981180456","https://openalex.org/W3004654429","https://openalex.org/W3011794880","https://openalex.org/W3021397474","https://openalex.org/W3035680038","https://openalex.org/W3064953855","https://openalex.org/W3083093643","https://openalex.org/W3094502663","https://openalex.org/W3099203518","https://openalex.org/W3102286003","https://openalex.org/W3102961637","https://openalex.org/W3123404882","https://openalex.org/W3150521056","https://openalex.org/W3157758108","https://openalex.org/W6600013530","https://openalex.org/W6600552572","https://openalex.org/W6636625392","https://openalex.org/W6739901393","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4375957588","https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2798835721","https://openalex.org/W2971071571","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W2385796165"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
