{"id":"https://openalex.org/W1486227774","doi":"https://doi.org/10.3115/v1/w14-1812","title":"Improving Peer Feedback Prediction: The Sentence Level is Right","display_name":"Improving Peer Feedback Prediction: The Sentence Level is Right","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1486227774","doi":"https://doi.org/10.3115/v1/w14-1812","mag":"1486227774"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1812","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1812","pdf_url":"https://aclanthology.org/W14-1812.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1812.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101424964","display_name":"Huy Nguyen","orcid":"https://orcid.org/0000-0002-2957-5137"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huy Nguyen","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048682514","display_name":"Diane Litman","orcid":"https://orcid.org/0000-0001-7282-7531"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diane Litman","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101424964"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":2.5371,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90489182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10260","display_name":"Software Engineering Research","score":0.9966999888420105,"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/T11122","display_name":"Online Learning and Analytics","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8533124923706055},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8138221502304077},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7593557834625244},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.577072024345398},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5548751354217529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043848752975464},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.4876595735549927},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43747588992118835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41117990016937256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8533124923706055},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8138221502304077},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7593557834625244},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.577072024345398},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5548751354217529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043848752975464},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.4876595735549927},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43747588992118835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41117990016937256},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/w14-1812","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1812","pdf_url":"https://aclanthology.org/W14-1812.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:d-scholarship.pitt.edu:22678","is_oa":false,"landing_page_url":"https://d-scholarship.pitt.edu/22678/8/licence.txt","pdf_url":null,"source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:d-scholarship.pitt.edu:22679","is_oa":false,"landing_page_url":"http://d-scholarship.pitt.edu/22679/1/licence.txt","pdf_url":null,"source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.682.3446","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.3446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-1812.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1812","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1812","pdf_url":"https://aclanthology.org/W14-1812.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1486227774.pdf","grobid_xml":"https://content.openalex.org/works/W1486227774.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W8550301","https://openalex.org/W35787829","https://openalex.org/W163787259","https://openalex.org/W299930192","https://openalex.org/W1493615237","https://openalex.org/W1501335461","https://openalex.org/W1975454407","https://openalex.org/W2022204871","https://openalex.org/W2026899404","https://openalex.org/W2075371609","https://openalex.org/W2098992709","https://openalex.org/W2101095370","https://openalex.org/W2109121591","https://openalex.org/W2133391912","https://openalex.org/W2152953915","https://openalex.org/W2400635783"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072"],"abstract_inverted_index":{"Recent":[0],"research":[1],"aims":[2],"to":[3,16,76,89,124],"automatically":[4],"predict":[5],"whether":[6],"peer":[7,25,69,144],"feedback":[8,70,91],"is":[9,88],"of":[10,27,49,68],"high":[11],"quality,":[12],"e.g.":[13],"suggests":[14],"solutions":[15],"identified":[17],"problems.":[18],"While":[19],"prior":[20],"studies":[21,41],"have":[22,42],"focused":[23],"on":[24,134],"review":[26,145],"papers,":[28],"similar":[29],"issues":[30],"arise":[31],"when":[32],"reviewing":[33],"diagrams":[34],"and":[35,55],"other":[36],"artifacts.":[37],"In":[38,58],"addition,":[39],"previous":[40],"not":[43,127],"carefully":[44],"examined":[45],"how":[46],"the":[47,66,80,85],"level":[48,106],"prediction":[50,78,111,122],"granularity":[51],"impacts":[52],"both":[53],"accuracy":[54],"educational":[56,86],"utility.":[57],"this":[59,114],"paper":[60],"we":[61],"develop":[62],"models":[63,112],"for":[64,142],"predicting":[65],"quality":[67],"regarding":[71],"argument":[72],"diagrams.":[73],"We":[74,97],"propose":[75],"perform":[77],"at":[79,92,103],"sentence":[81,105,121],"level,":[82],"even":[83],"though":[84],"task":[87],"label":[90,125],"a":[93,100,104],"multi-sentential":[94],"comment":[95,110,135],"level.":[96],"first":[98],"introduce":[99],"corpus":[101],"annotated":[102],"granularity,":[107],"then":[108],"build":[109],"using":[113],"corpus.":[115],"Our":[116],"results":[117],"show":[118],"that":[119,131],"aggregating":[120],"outputs":[123],"comments":[126],"only":[128],"outperforms":[129],"approaches":[130],"directly":[132],"train":[133],"annotations,":[136],"but":[137],"also":[138],"provides":[139],"useful":[140],"information":[141],"enhancing":[143],"systems":[146],"with":[147],"new":[148],"functionality.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
