{"id":"https://openalex.org/W2508785116","doi":"https://doi.org/10.18653/v1/w16-2804","title":"Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews","display_name":"Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2508785116","doi":"https://doi.org/10.18653/v1/w16-2804","mag":"2508785116"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-2804","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2804","pdf_url":"https://www.aclweb.org/anthology/W16-2804.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 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://www.aclweb.org/anthology/W16-2804.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108495406","display_name":"Pavithra Rajendran","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pavithra Rajendran","raw_affiliation_strings":["University of Liverpool"],"affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073503574","display_name":"Danushka Bollegala","orcid":"https://orcid.org/0000-0003-4476-7003"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danushka Bollegala","raw_affiliation_strings":["University of Liverpool"],"affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042580769","display_name":"Simon Parsons","orcid":"https://orcid.org/0000-0002-8425-9065"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Parsons","raw_affiliation_strings":["King's College London"],"affiliations":[{"raw_affiliation_string":"King's College London","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108495406"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":3.8563,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9429106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9984999895095825,"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":0.9983999729156494,"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/premise","display_name":"Premise","score":0.8935586214065552},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7165555953979492},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7141497135162354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679489612579346},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5505360960960388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5348222851753235},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5318489074707031},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5004909038543701},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.49815940856933594},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4903881549835205},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4189288020133972},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.41043803095817566},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.3430899977684021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19954127073287964},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10930946469306946},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09633901715278625}],"concepts":[{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.8935586214065552},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7165555953979492},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7141497135162354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679489612579346},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5505360960960388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5348222851753235},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5318489074707031},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5004909038543701},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.49815940856933594},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4903881549835205},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4189288020133972},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.41043803095817566},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3430899977684021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19954127073287964},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10930946469306946},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09633901715278625},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w16-2804","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2804","pdf_url":"https://www.aclweb.org/anthology/W16-2804.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 Third Workshop on Argument Mining (ArgMining2016)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-2804","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2804","pdf_url":"https://www.aclweb.org/anthology/W16-2804.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 Third Workshop on Argument Mining (ArgMining2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2508785116.pdf","grobid_xml":"https://content.openalex.org/works/W2508785116.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W51639971","https://openalex.org/W193524605","https://openalex.org/W1032370161","https://openalex.org/W1529669196","https://openalex.org/W1569903868","https://openalex.org/W1578957392","https://openalex.org/W1581485226","https://openalex.org/W1911240979","https://openalex.org/W1925537772","https://openalex.org/W1977842021","https://openalex.org/W1985015957","https://openalex.org/W1997210479","https://openalex.org/W2030170053","https://openalex.org/W2066288042","https://openalex.org/W2084642810","https://openalex.org/W2085556349","https://openalex.org/W2086796727","https://openalex.org/W2112178080","https://openalex.org/W2119707623","https://openalex.org/W2168240343","https://openalex.org/W2250287365","https://openalex.org/W2250397934","https://openalex.org/W2250500327","https://openalex.org/W2251521080","https://openalex.org/W2266769560","https://openalex.org/W2395678543","https://openalex.org/W2401967989","https://openalex.org/W2402400197","https://openalex.org/W2407460185","https://openalex.org/W3178696750"],"related_works":["https://openalex.org/W2367925007","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059","https://openalex.org/W3015724364","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W2900126711","https://openalex.org/W4285240985","https://openalex.org/W4225162083"],"abstract_inverted_index":{"Enthymemes,":[0],"that":[1,106],"are":[2,7],"arguments":[3,27,81],"with":[4],"missing":[5,39,49],"premises,":[6],"common":[8],"in":[9,40,77,125],"natural":[10,126],"language":[11,127],"text.":[12,30],"They":[13],"pose":[14],"a":[15,36,69,89,99],"challenge":[16],"for":[17],"the":[18,48,107],"field":[19],"of":[20],"argument":[21],"mining,":[22],"which":[23],"aims":[24],"to":[25,92],"extract":[26],"from":[28,51,82,114],"such":[29,56],"If":[31],"we":[32,44,67,87],"can":[33,45,110],"detect":[34,93],"whether":[35],"premise":[37,50],"is":[38],"an":[41],"argument,":[42],"then":[43],"either":[46],"fill":[47],"similar/related":[52],"arguments,":[53],"or":[54],"discard":[55],"enthymemes":[57],"altogether":[58],"and":[59,79],"focus":[60],"on":[61],"complete":[62],"arguments.":[63],"In":[64],"this":[65,85],"paper,":[66],"draw":[68],"connection":[70],"between":[71],"explicit":[72,94,112],"vs.":[73,95],"implicit":[74,96,115],"opinion":[75],"classification":[76],"reviews,":[78],"detecting":[80],"enthymemes.":[83],"For":[84],"purpose,":[86],"train":[88],"binary":[90],"classifier":[91],"opinions":[97,113],"using":[98],"manually":[100],"labelled":[101],"dataset.":[102],"Experimental":[103],"results":[104],"show":[105],"proposed":[108],"method":[109],"discriminate":[111],"ones,":[116],"thereby":[117],"providing":[118],"encouraging":[119],"first":[120],"step":[121],"towards":[122],"enthymeme":[123],"detection":[124],"texts.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-10-10T00:00:00"}
