{"id":"https://openalex.org/W3094276714","doi":"https://doi.org/10.1145/3340531.3417468","title":"Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks","display_name":"Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094276714","doi":"https://doi.org/10.1145/3340531.3417468","mag":"3094276714"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3417468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","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/A5020521704","display_name":"Manjira Sinha","orcid":"https://orcid.org/0000-0002-2653-5092"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manjira Sinha","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029852186","display_name":"Tirthankar Dasgupta","orcid":"https://orcid.org/0000-0001-6590-6936"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tirthankar Dasgupta","raw_affiliation_strings":["TCS Innovation Labs, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Kolkata, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003815510","display_name":"Jatin Mandav","orcid":null},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jatin Mandav","raw_affiliation_strings":["Indian Institute of Information Technology Kalyani, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Kalyani, Kolkata, India","institution_ids":["https://openalex.org/I77501641","https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020521704"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69294062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"3329","last_page":"3332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9976000189781189,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.994700014591217,"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":0.8395304679870605},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8081084489822388},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6635152101516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6483893990516663},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6294212341308594},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6099716424942017},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4760206341743469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46714091300964355},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.412189781665802},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.351701945066452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395304679870605},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8081084489822388},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6635152101516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6483893990516663},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6294212341308594},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6099716424942017},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4760206341743469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46714091300964355},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.412189781665802},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.351701945066452},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3417468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1555128924","https://openalex.org/W1598140581","https://openalex.org/W1966846336","https://openalex.org/W2251024444","https://openalex.org/W2251056936","https://openalex.org/W2517654006","https://openalex.org/W2758591789","https://openalex.org/W2758592353","https://openalex.org/W2759181158","https://openalex.org/W2781428482","https://openalex.org/W2805070499","https://openalex.org/W2887428522","https://openalex.org/W4385786223"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2572125165","https://openalex.org/W2296205523"],"abstract_inverted_index":{"Automatically":[0],"generating":[1],"or":[2],"ranking":[3,22],"distractors":[4,24],"for":[5,25,96],"multiple-choice":[6],"questions":[7],"(MCQs)":[8],"is":[9,92],"still":[10],"a":[11,93],"challenging":[12],"problem.":[13],"In":[14],"this":[15],"work,":[16],"we":[17,28,68],"have":[18,29,69],"focused":[19],"towards":[20],"automatic":[21],"of":[23,62,89],"MCQs.":[26],"Accordingly,":[27],"proposed":[30,57],"an":[31],"semantically":[32],"aware":[33],"CNN-BiLSTM":[34],"model.":[35],"We":[36],"evaluate":[37],"our":[38,56],"model":[39,58],"with":[40,79],"different":[41,49],"word":[42,74,82],"level":[43,75],"embeddings":[44,83],"as":[45],"input":[46],"over":[47],"two":[48],"openly":[50],"available":[51],"datasets.":[52],"Experimental":[53],"results":[54],"demonstrate":[55],"surpasses":[59],"the":[60,63,86],"performance":[61,88],"existing":[64],"baseline":[65],"models.":[66],"Furthermore,":[67],"observed":[70],"that":[71],"intelligently":[72],"incorporating":[73],"semantic":[76],"information":[77],"along":[78],"context":[80],"specific":[81],"boost":[84],"up":[85],"predictive":[87],"distractors,":[90],"which":[91],"promising":[94],"direction":[95],"further":[97],"research.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}