{"id":"https://openalex.org/W2758632539","doi":"https://doi.org/10.18653/v1/d17-1165","title":"Detecting Perspectives in Political Debates","display_name":"Detecting Perspectives in Political Debates","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2758632539","doi":"https://doi.org/10.18653/v1/d17-1165","mag":"2758632539"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1165","pdf_url":"https://www.aclweb.org/anthology/D17-1165.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1165.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039380414","display_name":"David Vilares","orcid":"https://orcid.org/0000-0002-1295-3840"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Vilares","raw_affiliation_strings":["Universidade da Corua Departamento de Computacin Campus de Elvia s/n, 15071 A Corua, Spain","Universidade da Coru\u00f1a Departamento de Computaci\u00f3n Campus de Elvi\u00f1a s/n, 15071 A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade da Corua Departamento de Computacin Campus de Elvia s/n, 15071 A Corua, Spain","institution_ids":["https://openalex.org/I11019714"]},{"raw_affiliation_string":"Universidade da Coru\u00f1a Departamento de Computaci\u00f3n Campus de Elvi\u00f1a s/n, 15071 A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015709853","display_name":"Yulan He","orcid":"https://orcid.org/0000-0003-3948-5845"},"institutions":[{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yulan He","raw_affiliation_strings":["School of Engineering and Applied Science Aston University United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science Aston University United Kingdom","institution_ids":["https://openalex.org/I169199633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9071,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93909248,"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":"1573","last_page":"1582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.991100013256073,"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":0.9776999950408936,"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/viewpoints","display_name":"Viewpoints","score":0.9473187923431396},{"id":"https://openalex.org/keywords/proposition","display_name":"Proposition","score":0.750984787940979},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.678142786026001},{"id":"https://openalex.org/keywords/parliament","display_name":"Parliament","score":0.6729100346565247},{"id":"https://openalex.org/keywords/house-of-commons","display_name":"House of Commons","score":0.6612496376037598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.625562310218811},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5775402784347534},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.552081286907196},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48241862654685974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4209350049495697},{"id":"https://openalex.org/keywords/commons","display_name":"Commons","score":0.4150558114051819},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3955009877681732},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3230692744255066},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.31055063009262085},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.2365548014640808},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10094919800758362}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.9473187923431396},{"id":"https://openalex.org/C2777152325","wikidata":"https://www.wikidata.org/wiki/Q108163","display_name":"Proposition","level":2,"score":0.750984787940979},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.678142786026001},{"id":"https://openalex.org/C2781440851","wikidata":"https://www.wikidata.org/wiki/Q35749","display_name":"Parliament","level":3,"score":0.6729100346565247},{"id":"https://openalex.org/C2778959273","wikidata":"https://www.wikidata.org/wiki/Q9247597","display_name":"House of Commons","level":4,"score":0.6612496376037598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625562310218811},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5775402784347534},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.552081286907196},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48241862654685974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4209350049495697},{"id":"https://openalex.org/C49427245","wikidata":"https://www.wikidata.org/wiki/Q9828451","display_name":"Commons","level":2,"score":0.4150558114051819},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3955009877681732},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3230692744255066},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.31055063009262085},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2365548014640808},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10094919800758362},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d17-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1165","pdf_url":"https://www.aclweb.org/anthology/D17-1165.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.aston.ac.uk:31523","is_oa":true,"landing_page_url":"https://publications.aston.ac.uk/view/author/0eaf71d33f36ad02379e16440bd5bcb2.html>","pdf_url":"https://publications.aston.ac.uk/id/eprint/31523/1/detectingPerspectivesInPoliticalDebates.pdf","source":{"id":"https://openalex.org/S4306400483","display_name":"Aston Publications Explorer (Aston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169199633","host_organization_name":"Aston University","host_organization_lineage":["https://openalex.org/I169199633"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Book Section"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1165","pdf_url":"https://www.aclweb.org/anthology/D17-1165.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2182312180","display_name":null,"funder_award_id":"61528302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321764","display_name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","ror":"https://ror.org/03nc27g21"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2758632539.pdf","grobid_xml":"https://content.openalex.org/works/W2758632539.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W642125458","https://openalex.org/W1880262756","https://openalex.org/W2014902591","https://openalex.org/W2023907142","https://openalex.org/W2037789405","https://openalex.org/W2038043464","https://openalex.org/W2107393946","https://openalex.org/W2108420397","https://openalex.org/W2111476290","https://openalex.org/W2112178080","https://openalex.org/W2123751690","https://openalex.org/W2163738067","https://openalex.org/W2181470043","https://openalex.org/W2250309026","https://openalex.org/W2250397934","https://openalex.org/W2250590686","https://openalex.org/W2251060708","https://openalex.org/W2251478708","https://openalex.org/W2251661596","https://openalex.org/W2327805699","https://openalex.org/W2347127863","https://openalex.org/W2460159515","https://openalex.org/W2520457279","https://openalex.org/W2964230653","https://openalex.org/W4231517135","https://openalex.org/W6826916023"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2626642044","https://openalex.org/W2902924992","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W4233821346","https://openalex.org/W2301056222"],"abstract_inverted_index":{"We":[0,12],"explore":[1],"how":[2],"to":[3,57],"detect":[4],"people's":[5],"perspectives":[6,25,38,90],"that":[7],"occupy":[8],"a":[9,14,59,64,72,109],"certain":[10],"proposition.":[11],"propose":[13],"Bayesian":[15],"modelling":[16],"approach":[17],"where":[18],"topics":[19,36],"(or":[20,26],"propositions)":[21],"and":[22,100],"their":[23],"associated":[24,34,53],"viewpoints)":[27],"are":[28],"modeled":[29],"as":[30],"latent":[31],"variables.":[32],"Words":[33],"with":[35],"or":[37],"follow":[39],"different":[40],"generative":[41],"routes.":[42],"Based":[43],"on":[44,78],"the":[45,51,68,81,86,92,95],"extracted":[46],"perspectives,":[47],"we":[48],"can":[49],"extract":[50],"top":[52],"sentences":[54],"from":[55,80,91],"text":[56],"generate":[58],"succinct":[60],"summary":[61],"which":[62],"allows":[63],"quick":[65],"glimpse":[66],"of":[67,83,85,97,111],"main":[69],"viewpoints":[70],"in":[71],"document.":[73],"The":[74],"model":[75],"is":[76],"evaluated":[77],"debates":[79,93],"House":[82],"Commons":[84],"UK":[87],"Parliament,":[88],"revealing":[89],"without":[94],"use":[96],"labelled":[98],"data":[99],"obtaining":[101],"better":[102],"results":[103],"than":[104],"previous":[105],"related":[106],"solutions":[107],"under":[108],"variety":[110],"evaluations.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
