{"id":"https://openalex.org/W2799201288","doi":"https://doi.org/10.18653/v1/p18-2044","title":"CNN for Text-Based Multiple Choice Question Answering","display_name":"CNN for Text-Based Multiple Choice Question Answering","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799201288","doi":"https://doi.org/10.18653/v1/p18-2044","mag":"2799201288"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2044","pdf_url":"https://www.aclweb.org/anthology/P18-2044.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-2044.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019757348","display_name":"Akshay Chaturvedi","orcid":"https://orcid.org/0000-0002-8192-6221"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshay Chaturvedi","raw_affiliation_strings":["Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata-700108, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata-700108, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019706515","display_name":"Onkar Pandit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138412","display_name":"Centre de recherche Inria Lille - Nord Europe","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Onkar Pandit","raw_affiliation_strings":["INRIA,40 Avenue Halley, Villeneuve-d'Ascq 59650, Lille, France"],"affiliations":[{"raw_affiliation_string":"INRIA,40 Avenue Halley, Villeneuve-d'Ascq 59650, Lille, France","institution_ids":["https://openalex.org/I4210138412","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024170958","display_name":"Utpal Garain","orcid":"https://orcid.org/0000-0001-7207-5018"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utpal Garain","raw_affiliation_strings":["Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata-700108, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata-700108, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019706515"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"],"apc_list":null,"apc_paid":null,"fwci":3.5537,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94167553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"272","last_page":"277"},"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/T10181","display_name":"Natural Language Processing Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.9280973672866821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.812806248664856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6953410506248474},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6363983154296875},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5888288617134094},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5740286707878113},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5717703104019165},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5596553087234497},{"id":"https://openalex.org/keywords/multiple-choice","display_name":"Multiple choice","score":0.556303083896637},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.45901575684547424},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42978715896606445},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4230518043041229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40449273586273193},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08309927582740784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.057907432317733765}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.9280973672866821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812806248664856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6953410506248474},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6363983154296875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5888288617134094},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5740286707878113},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5717703104019165},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5596553087234497},{"id":"https://openalex.org/C176730311","wikidata":"https://www.wikidata.org/wiki/Q867668","display_name":"Multiple choice","level":3,"score":0.556303083896637},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.45901575684547424},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42978715896606445},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4230518043041229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40449273586273193},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08309927582740784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.057907432317733765},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2044","pdf_url":"https://www.aclweb.org/anthology/P18-2044.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-2044","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2044","pdf_url":"https://www.aclweb.org/anthology/P18-2044.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799201288.pdf","grobid_xml":"https://content.openalex.org/works/W2799201288.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1525961042","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2251818205","https://openalex.org/W2537515450","https://openalex.org/W2551396370","https://openalex.org/W2552027021","https://openalex.org/W2746097825","https://openalex.org/W2962809918","https://openalex.org/W2963019137","https://openalex.org/W2963123047","https://openalex.org/W2963595025","https://openalex.org/W2963748441","https://openalex.org/W2963871484","https://openalex.org/W2963899988","https://openalex.org/W2964308564","https://openalex.org/W3104486441"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2143551613","https://openalex.org/W2383111961","https://openalex.org/W4245395944","https://openalex.org/W2365952365","https://openalex.org/W1979740464","https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W4388937922","https://openalex.org/W3113264705"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,10],"Question":[3,67],"Answering":[4,68],"is":[5],"at":[6],"the":[7,57,81],"very":[8],"core":[9],"machine":[11],"comprehension.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"propose":[17],"a":[18,35,42,49],"Convolutional":[19],"Neural":[20],"Network":[21],"(CNN)":[22],"model":[23,47,64,74],"for":[24],"textbased":[25],"multiple":[26,43],"choice":[27,44],"question":[28],"answering":[29],"where":[30],"questions":[31],"are":[32],"based":[33],"on":[34,65,80],"particular":[36],"article.":[37],"Given":[38],"an":[39],"article":[40],"and":[41,55,70],"question,":[45],"our":[46,63],"assigns":[48],"score":[50],"to":[51],"each":[52],"question-option":[53],"tuple":[54],"chooses":[56],"final":[58],"option":[59],"accordingly.":[60],"We":[61],"test":[62],"Textbook":[66],"(TQA)":[69],"SciQ":[71],"dataset.":[72],"Our":[73],"outperforms":[75],"several":[76],"LSTM-based":[77],"baseline":[78],"models":[79],"two":[82],"datasets.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}