{"id":"https://openalex.org/W3182274403","doi":"https://doi.org/10.1145/3386527.3406738","title":"Explanation Mining","display_name":"Explanation Mining","publication_year":2020,"publication_date":"2020-07-31","ids":{"openalex":"https://openalex.org/W3182274403","doi":"https://doi.org/10.1145/3386527.3406738","mag":"3182274403"},"language":"en","primary_location":{"id":"doi:10.1145/3386527.3406738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386527.3406738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","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/A5054430588","display_name":"Bhavya","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bhavya","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054430588"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59060321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"324"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926000237464905,"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":0.986299991607666,"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":0.793668270111084},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6922869682312012},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.620124340057373},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5403537750244141},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.470674604177475},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4597175121307373},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4225607216358185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35743916034698486},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34154993295669556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793668270111084},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6922869682312012},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.620124340057373},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5403537750244141},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.470674604177475},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4597175121307373},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4225607216358185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35743916034698486},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34154993295669556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386527.3406738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386527.3406738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1983870751","https://openalex.org/W2032881740","https://openalex.org/W2048737604","https://openalex.org/W2110293626","https://openalex.org/W2115584760","https://openalex.org/W2136542423","https://openalex.org/W2197966456","https://openalex.org/W2463592278","https://openalex.org/W2511683478"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2060591604","https://openalex.org/W2166791242","https://openalex.org/W3012440055","https://openalex.org/W2585162246","https://openalex.org/W2034202275","https://openalex.org/W1934413089","https://openalex.org/W1992291644","https://openalex.org/W2098419343"],"abstract_inverted_index":{"Explanations":[0],"are":[1,17],"used":[2],"to":[3,13,32,36],"provide":[4],"an":[5,41],"understanding":[6],"of":[7,51,57,71,95,103,140],"a":[8,62,81,96,104,119],"concept,":[9],"procedure,":[10],"or":[11],"reasoning":[12],"others.":[14],"Although":[15],"explanations":[16,56],"present":[18],"online":[19,127],"ubiquitously":[20],"within":[21],"textbooks,":[22],"discussion":[23],"forums,":[24],"and":[25],"many":[26],"more,":[27],"there":[28],"is":[29,109],"no":[30],"way":[31],"mine":[33,55],"them":[34],"automatically":[35],"assist":[37],"learners":[38],"in":[39,92,136],"seeking":[40],"explanation.":[42],"To":[43,54],"address":[44],"this":[45],"problem,":[46],"we":[47,60],"propose":[48,61],"the":[49,67,85,93,101,137],"task":[50],"Explanation":[52],"Mining.":[53],"educational":[58],"concepts,":[59],"baseline":[63],"approach":[64,70],"based":[65],"on":[66,84],"Language":[68],"Modeling":[69],"information":[72],"retrieval.":[73],"Preliminary":[74],"results":[75],"suggest":[76,131],"that":[77],"incorporating":[78],"knowledge":[79],"from":[80],"model":[82],"trained":[83],"ELI5":[86],"(Explain":[87],"Like":[88],"I'm":[89],"Five)":[90],"dataset":[91],"form":[94],"document":[97],"prior":[98],"helps":[99],"increase":[100],"performance":[102],"standard":[105],"retrieval":[106],"model.":[107],"This":[108],"encouraging":[110],"because":[111],"our":[112],"method":[113],"requires":[114],"minimal":[115],"in-domain":[116],"supervision,":[117],"as":[118],"result,":[120],"it":[121],"can":[122],"be":[123],"deployed":[124],"for":[125],"multiple":[126],"courses.":[128],"We":[129],"also":[130],"some":[132],"interesting":[133],"future":[134],"work":[135],"computational":[138],"analysis":[139],"explanations.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-07-19T00:00:00"}
