{"id":"https://openalex.org/W2516812842","doi":"https://doi.org/10.18653/v1/w16-2807","title":"Scrutable Feature Sets for Stance Classification","display_name":"Scrutable Feature Sets for Stance Classification","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2516812842","doi":"https://doi.org/10.18653/v1/w16-2807","mag":"2516812842"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-2807","is_oa":true,"landing_page_url":"http://doi.org/10.18653/v1/w16-2807","pdf_url":"https://doi.org/10.18653/v1/w16-2807","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third Workshop on Argument Mining (ArgMining2016)","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/w16-2807","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112522001","display_name":"Angrosh Mandya","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Angrosh Mandya","raw_affiliation_strings":["Computing Science"],"affiliations":[{"raw_affiliation_string":"Computing Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012073793","display_name":"Advaith Siddharthan","orcid":"https://orcid.org/0000-0003-0796-8826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Advaith Siddharthan","raw_affiliation_strings":["Computing Science"],"affiliations":[{"raw_affiliation_string":"Computing Science","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063413613","display_name":"Adam Wyner","orcid":"https://orcid.org/0000-0002-2958-3428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam Wyner","raw_affiliation_strings":["Computing Science"],"affiliations":[{"raw_affiliation_string":"Computing Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112522001"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8868,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84551307,"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":"60","last_page":"69"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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":0.9973999857902527,"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/argumentative","display_name":"Argumentative","score":0.8558878302574158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7658019065856934},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.688569188117981},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6584919095039368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6455446481704712},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6448513269424438},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6417034864425659},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5206117630004883},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.513927698135376},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4831699728965759},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.47206786274909973},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4430849850177765},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4182719588279724},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3726532459259033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33887553215026855},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17997419834136963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0609835684299469}],"concepts":[{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.8558878302574158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658019065856934},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.688569188117981},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6584919095039368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6455446481704712},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6448513269424438},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6417034864425659},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5206117630004883},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.513927698135376},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4831699728965759},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.47206786274909973},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4430849850177765},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4182719588279724},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3726532459259033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33887553215026855},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17997419834136963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0609835684299469},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w16-2807","is_oa":true,"landing_page_url":"http://doi.org/10.18653/v1/w16-2807","pdf_url":"https://doi.org/10.18653/v1/w16-2807","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third Workshop on Argument Mining (ArgMining2016)","raw_type":"proceedings-article"},{"id":"pmh:oai:oro.open.ac.uk:58725","is_oa":false,"landing_page_url":"https://oro.open.ac.uk/58725/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-2807","is_oa":true,"landing_page_url":"http://doi.org/10.18653/v1/w16-2807","pdf_url":"https://doi.org/10.18653/v1/w16-2807","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third Workshop on Argument Mining (ArgMining2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2516812842.pdf","grobid_xml":"https://content.openalex.org/works/W2516812842.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W106870163","https://openalex.org/W1536494821","https://openalex.org/W1550206324","https://openalex.org/W1992042274","https://openalex.org/W2094061585","https://openalex.org/W2097480711","https://openalex.org/W2098420572","https://openalex.org/W2130549755","https://openalex.org/W2133990480","https://openalex.org/W2145327091","https://openalex.org/W2150248423","https://openalex.org/W2251478708","https://openalex.org/W2251939518"],"related_works":["https://openalex.org/W2965892119","https://openalex.org/W3189036019","https://openalex.org/W3123017387","https://openalex.org/W2914617016","https://openalex.org/W3094046600","https://openalex.org/W2971866894","https://openalex.org/W4226218582","https://openalex.org/W2995714616","https://openalex.org/W2901714711","https://openalex.org/W2935764753"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"and":[3,64,150],"evaluates":[4],"a":[5,18,21,41,50,91,95,115,121,142],"novel":[6],"feature":[7,105],"set":[8,42,106],"for":[9,24,114],"stance":[10,78,137],"classification":[11,116,138],"of":[12,43,79,97,103,144],"argumentative":[13],"texts;":[14],"i.e.":[15],"deciding":[16],"whether":[17],"post":[19],"by":[20],"user":[22,123],"is":[23,87,107,110],"or":[25],"against":[26],"the":[27,33,57,61,70,75,80,83],"issue":[28,84],"being":[29,72,85],"debated.":[30],"We":[31,127],"model":[32],"debate":[34],"both":[35],"as":[36,65,94,139,141],"attitude":[37,59],"bearing":[38],"features,":[39],"including":[40],"automatically":[44],"acquired":[45],"\u2018topic":[46],"terms\u2019":[47],"associated":[48],"with":[49],"Distributional":[51],"Lexical":[52],"Model":[53],"(DLM)":[54],"that":[55,68,108,130],"captures":[56],"writer\u2019s":[58],"towards":[60,82],"topic":[62],"term,":[63],"dependency":[66],"features":[67],"represent":[69],"points":[71],"made":[73],"in":[74,90,124],"debate.":[76],"The":[77,100,112],"text":[81],"debated":[86],"then":[88],"learnt":[89],"supervised":[92],"framework":[93],"function":[96],"these":[98],"features.":[99],"main":[101],"advantage":[102],"our":[104,131],"it":[109],"scrutable:":[111],"reasons":[113],"can":[117],"be":[118],"explained":[119],"to":[120,136],"human":[122],"natural":[125],"language.":[126],"also":[128],"report":[129],"method":[132],"outperforms":[133],"previous":[134],"approaches":[135],"well":[140],"range":[143],"baselines":[145],"based":[146],"on":[147],"sentiment":[148],"analysis":[149],"topic-sentiment":[151],"analysis.":[152]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}