{"id":"https://openalex.org/W2119461458","doi":"https://doi.org/10.1145/2484028.2484161","title":"Document features predicting assessor disagreement","display_name":"Document features predicting assessor disagreement","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2119461458","doi":"https://doi.org/10.1145/2484028.2484161","mag":"2119461458"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","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/A5020257829","display_name":"Praveen Chandar","orcid":"https://orcid.org/0009-0008-2199-2631"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Praveen Chandar","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110722281","display_name":"William Webber","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Webber","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020257829"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":3.4596,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93002935,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9864000082015991,"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/readability","display_name":"Readability","score":0.7742406129837036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456648707389832},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6341893672943115},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5983328223228455},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5905573964118958},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5840066075325012},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5648791790008545},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4945478141307831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3573911786079407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19778183102607727},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08164477348327637}],"concepts":[{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.7742406129837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456648707389832},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6341893672943115},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5983328223228455},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5905573964118958},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5840066075325012},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5648791790008545},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4945478141307831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3573911786079407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19778183102607727},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08164477348327637},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2484028.2484161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.369.9742","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.umiacs.umd.edu/~wew/papers/cwc13sigir.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974548087","https://openalex.org/W1982643343","https://openalex.org/W1987016195","https://openalex.org/W1993924397","https://openalex.org/W2008285050","https://openalex.org/W2034007476","https://openalex.org/W2053397947","https://openalex.org/W2062236692","https://openalex.org/W2120308175","https://openalex.org/W2155424651"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2370831213","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987","https://openalex.org/W3160516639"],"abstract_inverted_index":{"The":[0],"notion":[1],"of":[2,73,80,86,119,146],"relevance":[3],"differs":[4],"between":[5,37],"assessors,":[6],"thus":[7],"giving":[8],"rise":[9],"to":[10,23,63,103,122],"assessor":[11,14,38,65],"disagreement.":[12,74],"Although":[13],"disagreement":[15,24,39,66],"has":[16],"been":[17],"frequently":[18],"observed,":[19],"the":[20,35,77,109,129],"factors":[21,44],"leading":[22],"are":[25,101,133,141],"still":[26],"an":[27],"open":[28],"problem.":[29],"In":[30],"this":[31],"paper":[32],"we":[33,126],"study":[34],"relationship":[36],"and":[40,48,58,67,116],"various":[41],"topic":[42],"independent":[43],"such":[45],"as":[46],"readability":[47],"cohesiveness.":[49],"We":[50,75],"build":[51],"a":[52,87,92,106,114],"logistic":[53],"model":[54],"using":[55],"reading":[56,130],"level":[57,131],"other":[59,144],"simple":[60],"document":[61,147],"features":[62,83,100,132],"predict":[64],"rank":[68],"documents":[69],"by":[70],"decreasing":[71],"probability":[72],"compare":[76],"predictive":[78],"power":[79],"these":[81],"document-level":[82],"with":[84,108,136],"that":[85,90,128,139],"meta-search":[88,110],"feature":[89],"aggregates":[91],"document's":[93],"ranking":[94],"across":[95],"multiple":[96],"retrieval":[97,120],"runs.":[98],"Our":[99],"shown":[102],"be":[104],"on":[105],"par":[107],"feature,":[111],"without":[112],"requiring":[113],"large":[115],"diverse":[117],"set":[118],"runs":[121],"calculate.":[123],"Surprisingly,":[124],"however,":[125],"find":[127],"negatively":[134],"correlated":[135],"disagreement,":[137],"suggesting":[138],"they":[140],"detecting":[142],"some":[143],"aspect":[145],"content.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
