{"id":"https://openalex.org/W2974794596","doi":"https://doi.org/10.18653/v1/k19-1024","title":"Policy Preference Detection in Parliamentary Debate Motions","display_name":"Policy Preference Detection in Parliamentary Debate Motions","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974794596","doi":"https://doi.org/10.18653/v1/k19-1024","mag":"2974794596"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1024","pdf_url":"https://www.aclweb.org/anthology/K19-1024.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K19-1024.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042583293","display_name":"Gavin Abercrombie","orcid":"https://orcid.org/0000-0002-6546-3562"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gavin Abercrombie","raw_affiliation_strings":["Department of Computer Science University of Manchester"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Manchester","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064977687","display_name":"Federico Nanni","orcid":"https://orcid.org/0000-0003-2484-4331"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Federico Nanni","raw_affiliation_strings":["Data and Web Science Group University of Mannheim"],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group University of Mannheim","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050960711","display_name":"Riza Batista-Navarro","orcid":"https://orcid.org/0000-0001-6693-7531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riza Batista-Navarro","raw_affiliation_strings":["Department of Computer Science University of Manchester"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Manchester","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017409996","display_name":"Simone Paolo Ponzetto","orcid":"https://orcid.org/0000-0001-7484-2049"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simone Paolo Ponzetto","raw_affiliation_strings":["Data and Web Science Group University of Mannheim"],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group University of Mannheim","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042583293"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4451,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86968849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9922000169754028,"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":0.9922000169754028,"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":0.9857000112533569,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7802727818489075},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7201561331748962},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7149484157562256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303668975830078},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4877482056617737},{"id":"https://openalex.org/keywords/parliament","display_name":"Parliament","score":0.47015997767448425},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4629315733909607},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4556383192539215},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.4380488693714142},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.41781651973724365},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4163697063922882},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39633259177207947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3866426944732666},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.2933257818222046},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.22722327709197998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802727818489075},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7201561331748962},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7149484157562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303668975830078},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4877482056617737},{"id":"https://openalex.org/C2781440851","wikidata":"https://www.wikidata.org/wiki/Q35749","display_name":"Parliament","level":3,"score":0.47015997767448425},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4629315733909607},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4556383192539215},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.4380488693714142},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.41781651973724365},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4163697063922882},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39633259177207947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3866426944732666},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2933257818222046},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.22722327709197998},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/k19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1024","pdf_url":"https://www.aclweb.org/anthology/K19-1024.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/905f6433-f4ff-4840-b20b-bac27e67fb76","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/905f6433-f4ff-4840-b20b-bac27e67fb76","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abercrombie, G & Batista-Navarro, R T 2019, Policy Preference Detection in Parliamentary Debate Motions. in Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics, pp. 249-259.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:52108","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"pmh:oai:pure.atira.dk:publications/905f6433-f4ff-4840-b20b-bac27e67fb76","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/policy-preference-detection-in-parliamentary-debate-motions(905f6433-f4ff-4840-b20b-bac27e67fb76).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Abercrombie, G & Batista-Navarro, R T 2019, Policy Preference Detection in Parliamentary Debate Motions. in Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics, pp. 249-259.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.18653/v1/k19-1024","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1024","pdf_url":"https://www.aclweb.org/anthology/K19-1024.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 23rd Conference on Computational Natural Language Learning (CoNLL)","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/G2228243831","display_name":null,"funder_award_id":"SFB 884","funder_id":"https://openalex.org/F4320324159","funder_display_name":"Universit\u00e4t Mannheim"},{"id":"https://openalex.org/G5288447968","display_name":null,"funder_award_id":"SFB 88","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6250003469","display_name":null,"funder_award_id":"SFB 884","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320324159","display_name":"Universit\u00e4t Mannheim","ror":"https://ror.org/031bsb921"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974794596.pdf","grobid_xml":"https://content.openalex.org/works/W2974794596.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W214766464","https://openalex.org/W628052711","https://openalex.org/W1505278626","https://openalex.org/W1967807490","https://openalex.org/W2009659525","https://openalex.org/W2082321078","https://openalex.org/W2118681242","https://openalex.org/W2157546188","https://openalex.org/W2164777277","https://openalex.org/W2484598580","https://openalex.org/W2512217112","https://openalex.org/W2606288287","https://openalex.org/W2737923628","https://openalex.org/W2741212913","https://openalex.org/W2753712292","https://openalex.org/W2788605280","https://openalex.org/W2807090393","https://openalex.org/W2891746463","https://openalex.org/W2896457183","https://openalex.org/W2938456668","https://openalex.org/W2950879740","https://openalex.org/W2960532269","https://openalex.org/W2962739339","https://openalex.org/W2962772361","https://openalex.org/W2962996334","https://openalex.org/W2963122256","https://openalex.org/W2963341956","https://openalex.org/W2967420951","https://openalex.org/W3132942404","https://openalex.org/W4288373500","https://openalex.org/W4294367149","https://openalex.org/W4297732760"],"related_works":["https://openalex.org/W4243749125","https://openalex.org/W4200207182","https://openalex.org/W2025932902","https://openalex.org/W1995905447","https://openalex.org/W2955328075","https://openalex.org/W2952067714","https://openalex.org/W4206349327","https://openalex.org/W3126212998","https://openalex.org/W3131641334","https://openalex.org/W3116380819"],"abstract_inverted_index":{"Debate":[0],"motions":[1,44,78,131],"(proposals)":[2],"tabled":[3],"in":[4,34,191],"the":[5,11,16,27,57,70,94,98,103,133,147,171],"UK":[6],"Parliament":[7,19],"contain":[8],"information":[9],"about":[10],"stated":[12],"policy":[13],"preferences":[14],"of":[15,18,29,61,72,82,88,102,114,126,128,202],"Members":[17],"who":[20],"propose":[21],"them,":[22],"and":[23,59,84,97,100,143,178,199],"are":[24,160],"key":[25],"to":[26,36,40,76,139,164],"analysis":[28,60],"all":[30],"subsequent":[31],"speeches":[32],"given":[33],"response":[35],"them.":[37],"We":[38,65,92],"attempt":[39],"automatically":[41,129],"label":[42],"debate":[43,77],"with":[45,112,132,194],"codes":[46,75],"from":[47,136],"a":[48,86,124,176,184],"pre-existing":[49],"coding":[50],"scheme":[51],"developed":[52],"by":[53],"political":[54,62],"scientists":[55],"for":[56,69],"annotation":[58,67,95],"parties'":[63],"manifestos.":[64],"develop":[66],"guidelines":[68],"task":[71],"applying":[73],"these":[74,152],"at":[79],"two":[80],"levels":[81],"granularity":[83],"produce":[85],"dataset":[87],"manually":[89],"labelled":[90],"examples.":[91],"evaluate":[93,144],"process":[96],"reliability":[99],"utility":[101],"labelling":[104,130],"scheme,":[105],"finding":[106],"that":[107,113,156],"inter-annotator":[108],"agreement":[109],"is":[110],"comparable":[111],"other":[115],"studies":[116],"conducted":[117],"on":[118],"manifesto":[119],"data.":[120,204],"Moreover,":[121],"we":[122,154,174],"test":[123],"variety":[125],"ways":[127],"codes,":[134],"ranging":[135],"similarity":[137],"matching":[138],"neural":[140],"classification":[141,192],"methods,":[142],"them":[145],"against":[146],"gold":[148],"standard":[149],"labels.":[150],"From":[151],"experiments,":[153],"note":[155],"established":[157],"supervised":[158],"baselines":[159],"not":[161],"always":[162],"able":[163],"improve":[165],"over":[166,195],"simple":[167],"lexical":[168],"heuristics.":[169],"At":[170],"same":[172],"time,":[173],"detect":[175],"clear":[177],"evident":[179],"benefit":[180],"when":[181],"employing":[182],"BERT,":[183],"state-of-the-art":[185],"deep":[186],"language":[187],"representation":[188],"model,":[189],"even":[190],"scenarios":[193],"30":[196],"different":[197],"labels":[198],"limited":[200],"amounts":[201],"training":[203]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
