{"id":"https://openalex.org/W2953858588","doi":"https://doi.org/10.18653/v1/s19-2202","title":"DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification","display_name":"DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953858588","doi":"https://doi.org/10.18653/v1/s19-2202","mag":"2953858588"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2202","pdf_url":null,"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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/s19-2202","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079494858","display_name":"Anastasios Bairaktaris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasios Bairaktaris","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016041013","display_name":"Symeon Symeonidis","orcid":"https://orcid.org/0000-0002-3259-614X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Symeon Symeonidis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058891144","display_name":"Avi Arampatzis","orcid":"https://orcid.org/0000-0003-2415-4592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avi Arampatzis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1412,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55580076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1155","last_page":"1159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"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":0.9955999851226807,"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":0.8397358655929565},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.818041980266571},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6977680325508118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6922550797462463},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6498492956161499},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5498952865600586},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.530697762966156},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5097505450248718},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.47312086820602417},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44141316413879395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397358655929565},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.818041980266571},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6977680325508118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6922550797462463},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6498492956161499},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5498952865600586},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.530697762966156},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5097505450248718},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.47312086820602417},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44141316413879395},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s19-2202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2202","pdf_url":null,"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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2202","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2202","pdf_url":null,"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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2019307700","https://openalex.org/W2037450062","https://openalex.org/W2101234009","https://openalex.org/W2108420397","https://openalex.org/W2108850603","https://openalex.org/W2252217313","https://openalex.org/W2340588069","https://openalex.org/W2466490286","https://openalex.org/W2469813221","https://openalex.org/W2732105903","https://openalex.org/W2789098532","https://openalex.org/W2799261087","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2305197319","https://openalex.org/W3092520036","https://openalex.org/W2359986910","https://openalex.org/W1920940326","https://openalex.org/W3135299534","https://openalex.org/W3094081749","https://openalex.org/W4386146983","https://openalex.org/W3211041971","https://openalex.org/W2362527251","https://openalex.org/W2892200803"],"abstract_inverted_index":{"This":[0],"report":[1],"describes":[2],"the":[3,7,50,70,114,121,142],"methods":[4],"employed":[5],"by":[6,76,108,123],"Democritus":[8],"University":[9],"of":[10,93,116],"Thrace":[11],"(DUTH)":[12],"team":[13,28],"for":[14,120,141],"participating":[15],"in":[16,22,52],"SemEval-2019":[17],"Task":[18],"8:":[19],"Fact":[20],"Checking":[21],"Community":[23],"Question":[24,34],"Answering":[25],"Forums.":[26],"Our":[27,36],"dealt":[29],"only":[30],"with":[31],"Subtask":[32],"A:":[33],"Classification.":[35],"approach":[37],"was":[38],"based":[39],"on":[40],"shallow":[41],"natural":[42],"language":[43],"processing":[44],"(NLP)":[45],"pre-processing":[46],"techniques":[47],"to":[48,84,125],"reduce":[49],"noise":[51],"data,":[53],"feature":[54],"selection":[55],"methods,":[56],"and":[57,66,80,98,128],"supervised":[58],"machine":[59],"learning":[60],"algorithms":[61],"such":[62],"as":[63],"NearestCentroid,":[64],"Perceptron,":[65],"LinearSVC.":[67],"To":[68],"determine":[69],"essential":[71],"features,":[72],"we":[73,88,112,130],"were":[74],"aided":[75],"exploratory":[77],"data":[78],"analysis":[79],"visualizations.":[81],"In":[82],"order":[83],"improve":[85],"classification":[86],"accuracy,":[87],"developed":[89],"a":[90,137],"customized":[91],"list":[92],"stopwords,":[94],"retaining":[95],"some":[96,132],"opinion-":[97],"fact-denoting":[99],"common":[100],"function":[101],"words":[102],"which":[103],"would":[104],"have":[105],"been":[106],"removed":[107],"standard":[109],"stoplisting.":[110],"Furthermore,":[111],"examined":[113],"usefulness":[115],"part-of-speech":[117],"(POS)":[118],"categories":[119],"task;":[122],"trying":[124],"remove":[126],"nouns":[127],"adjectives,":[129],"found":[131],"evidence":[133],"that":[134],"verbs":[135],"are":[136],"valuable":[138],"POS":[139],"category":[140],"opinion":[143],"question":[144],"class.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
