{"id":"https://openalex.org/W1963863728","doi":"https://doi.org/10.1109/aiccsa.2014.7073262","title":"Question focus extraction and answer passage retrieval","display_name":"Question focus extraction and answer passage retrieval","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1963863728","doi":"https://doi.org/10.1109/aiccsa.2014.7073262","mag":"1963863728"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2014.7073262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2014.7073262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030990394","display_name":"Amine Bayoudhi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Amine Bayoudhi","raw_affiliation_strings":["ANLP Group, University of Sfax, Sfax","ANLP Group, MIRACL laboratory, FSEGS, University of Sfax, B.P. 1088, 3018, Sfax, TUNISIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ANLP Group, University of Sfax, Sfax","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"ANLP Group, MIRACL laboratory, FSEGS, University of Sfax, B.P. 1088, 3018, Sfax, TUNISIA","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001984598","display_name":"Lamia Hadrich Belguith","orcid":"https://orcid.org/0000-0002-4868-657X"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lamia Hadrich Belguith","raw_affiliation_strings":["ANLP Group, University of Sfax, Sfax","ANLP Group, MIRACL laboratory, FSEGS, University of Sfax, B.P. 1088, 3018, Sfax, TUNISIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ANLP Group, University of Sfax, Sfax","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"ANLP Group, MIRACL laboratory, FSEGS, University of Sfax, B.P. 1088, 3018, Sfax, TUNISIA","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056201130","display_name":"Hatem Ghorbel","orcid":"https://orcid.org/0000-0001-5501-9807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hatem Ghorbel","raw_affiliation_strings":["ISIC Lab, HE-Arc Ing\u00e9nierie University of Applied Sciences, St-Imier, Switzerland","ISIC Lab, HE-Arc Ing\u00e9nierie, University of Applied Sciences, CH-2610 St-Imier, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISIC Lab, HE-Arc Ing\u00e9nierie University of Applied Sciences, St-Imier, Switzerland","institution_ids":[]},{"raw_affiliation_string":"ISIC Lab, HE-Arc Ing\u00e9nierie, University of Applied Sciences, CH-2610 St-Imier, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"658","last_page":"665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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/focus","display_name":"Focus (optics)","score":0.8211934566497803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8043904304504395},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7126633524894714},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6694371700286865},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6393009424209595},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6235197186470032},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.6044470071792603},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5819992423057556},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5639125108718872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451450347900391},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.49841761589050293},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4559295177459717},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1370478868484497}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.8211934566497803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043904304504395},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7126633524894714},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6694371700286865},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6393009424209595},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6235197186470032},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.6044470071792603},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5819992423057556},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5639125108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451450347900391},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.49841761589050293},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4559295177459717},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1370478868484497},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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:10.1109/aiccsa.2014.7073262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2014.7073262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W139355502","https://openalex.org/W332278650","https://openalex.org/W611965449","https://openalex.org/W1043462122","https://openalex.org/W1486798440","https://openalex.org/W1519070474","https://openalex.org/W1528251584","https://openalex.org/W1533604235","https://openalex.org/W1966542308","https://openalex.org/W2001214180","https://openalex.org/W2022204871","https://openalex.org/W2051303884","https://openalex.org/W2081402703","https://openalex.org/W2101916644","https://openalex.org/W2106390866","https://openalex.org/W2144091323","https://openalex.org/W2150337041","https://openalex.org/W2153820555","https://openalex.org/W2161446215","https://openalex.org/W2167702024","https://openalex.org/W2167774378","https://openalex.org/W2294823225","https://openalex.org/W2492584954","https://openalex.org/W2761298759","https://openalex.org/W4295237262","https://openalex.org/W6605635276","https://openalex.org/W6611458283","https://openalex.org/W6629063019","https://openalex.org/W6631522713","https://openalex.org/W6632114895","https://openalex.org/W6675804973","https://openalex.org/W6680950327","https://openalex.org/W6682205821","https://openalex.org/W6697423512","https://openalex.org/W6722671252"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W155133298","https://openalex.org/W128416478","https://openalex.org/W1984061923","https://openalex.org/W2354358966"],"abstract_inverted_index":{"Question":[0,7],"Analysis":[1],"is":[2,32,88],"an":[3,54,76,99],"important":[4],"task":[5,149],"in":[6,14],"Answering":[8],"Systems":[9],"(QAS).":[10],"It":[11],"consists":[12],"generally":[13],"identifying":[15],"the":[16,20,24,28,36,40,64,68,80,96,126,145],"semantic":[17],"type":[18],"of":[19,27,48,66,70,82],"question":[21],"and":[22,45,73,123,139,142],"extracting":[23,79],"main":[25],"focus":[26,69,81,127],"question.":[29,41],"The":[30,85],"goal":[31],"to":[33,52,107],"better":[34],"specify":[35],"required":[37],"information":[38],"by":[39,150],"In":[42],"this":[43,61],"context":[44],"as":[46,134],"part":[47],"a":[49,113],"framework":[50],"aiming":[51],"implement":[53],"Arabic":[55],"opinion":[56,71],"QAS":[57],"for":[58,78,137],"political":[59,116],"debates,":[60],"paper":[62,97],"addresses":[63],"problem":[65],"defining":[67],"questions":[72],"proposes":[74],"particularly":[75],"approach":[77,87,129],"attitude":[83],"questions.":[84],"proposed":[86],"based":[89,105],"on":[90],"semi-automatically":[91],"constructed":[92],"lexico-syntactic":[93],"patterns.":[94],"Furthermore,":[95],"presents":[98],"adapted":[100],"Vector":[101],"Space":[102],"Model":[103],"(VSM)":[104],"method":[106],"retrieve":[108],"candidate":[109],"answer":[110],"passages":[111],"from":[112],"transcribed":[114],"TV":[115],"show.":[117],"Several":[118],"experiments":[119],"were":[120],"carried":[121],"out":[122],"showed":[124],"that":[125],"extraction":[128],"has":[130,143],"achieved":[131],"over":[132,151],"72%":[133],"F1":[135],"score":[136],"holder":[138],"target":[140],"extraction,":[141],"improved":[144],"baseline":[146],"passage":[147],"retrieval":[148],"than":[152],"25%.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}