{"id":"https://openalex.org/W2150248423","doi":"https://doi.org/10.3115/v1/d14-1083","title":"Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates","display_name":"Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2150248423","doi":"https://doi.org/10.3115/v1/d14-1083","mag":"2150248423"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1083","pdf_url":"https://aclanthology.org/D14-1083.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1083.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111984645","display_name":"Kazi Saidul Hasan","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kazi Saidul Hasan","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004305684","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0002-5114-3883"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":173,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"751","last_page":"762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.998199999332428,"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":0.998199999332428,"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":0.9941999912261963,"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/T10557","display_name":"Social Media and Politics","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/ideology","display_name":"Ideology","score":0.8048763275146484},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6724560260772705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682246685028076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48284298181533813},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.37443122267723083},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35983479022979736},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34033679962158203},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3318782448768616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3261373043060303},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.30952000617980957},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.2289954423904419},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1270502805709839},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.11649855971336365},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10699343681335449},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0596766471862793}],"concepts":[{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.8048763275146484},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6724560260772705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682246685028076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48284298181533813},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.37443122267723083},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35983479022979736},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34033679962158203},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3318782448768616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3261373043060303},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30952000617980957},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2289954423904419},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1270502805709839},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.11649855971336365},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10699343681335449},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0596766471862793},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/d14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1083","pdf_url":"https://aclanthology.org/D14-1083.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.676.819","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014083.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.5139","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.5139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1083.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.728.1197","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.728.1197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hlt.utdallas.edu/%7Evince/papers/emnlp14-reason.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1083","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1083","pdf_url":"https://aclanthology.org/D14-1083.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 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3509909145","display_name":"RI: Small: Semantics-Based, Weakly-Supervised Coreference Resolution","funder_award_id":"1219142","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4614702247","display_name":"EAGER: Joint Learning for Knowledge-Rich Coreference Resolution","funder_award_id":"1147644","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2150248423.pdf","grobid_xml":"https://content.openalex.org/works/W2150248423.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W106870163","https://openalex.org/W292253979","https://openalex.org/W1493379323","https://openalex.org/W1566346388","https://openalex.org/W1695915310","https://openalex.org/W1934019294","https://openalex.org/W1967807490","https://openalex.org/W1991133427","https://openalex.org/W2022166150","https://openalex.org/W2038051455","https://openalex.org/W2048392812","https://openalex.org/W2064594469","https://openalex.org/W2094728533","https://openalex.org/W2097794246","https://openalex.org/W2114524997","https://openalex.org/W2119707623","https://openalex.org/W2120699290","https://openalex.org/W2124022436","https://openalex.org/W2127804677","https://openalex.org/W2129861887","https://openalex.org/W2142213820","https://openalex.org/W2143398792","https://openalex.org/W2145327091","https://openalex.org/W2146894761","https://openalex.org/W2150850338","https://openalex.org/W2151117253","https://openalex.org/W2151388686","https://openalex.org/W2153332911","https://openalex.org/W2153804780","https://openalex.org/W2188082944","https://openalex.org/W2250397934","https://openalex.org/W2251426493","https://openalex.org/W2402363783","https://openalex.org/W2402400197","https://openalex.org/W2405552883","https://openalex.org/W2406121277","https://openalex.org/W2949380545","https://openalex.org/W2950879740","https://openalex.org/W4243501507"],"related_works":["https://openalex.org/W2358556841","https://openalex.org/W2393918707","https://openalex.org/W2347506984","https://openalex.org/W2356608624","https://openalex.org/W2389874476","https://openalex.org/W2357886583","https://openalex.org/W2948332946","https://openalex.org/W2363848325","https://openalex.org/W2357114830","https://openalex.org/W4211075255"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"a":[4],"surge":[5],"of":[6,52,91,102],"interest":[7],"in":[8,11,29,55],"stance":[9,24,63,77,113],"classification":[10,54,64,114],"online":[12],"debates.":[13],"Oftentimes,":[14],"however,":[15],"it":[16],"is":[17],"important":[18],"to":[19],"determine":[20],"not":[21],"only":[22],"the":[23,35,42,49,59],"expressed":[25],"by":[26],"an":[27],"author":[28],"her":[30,38],"debate":[31,93],"posts,":[32],"but":[33],"also":[34],"reasons":[36,105],"behind":[37],"supporting":[39],"or":[40],"opposing":[41],"issue":[43],"under":[44],"debate.":[45],"We":[46],"therefore":[47],"examine":[48],"new":[50],"task":[51],"reason":[53,66,84,111],"this":[56],"paper.":[57],"Given":[58],"close":[60],"interplay":[61],"between":[62],"and":[65,104,112],"classification,":[67],"we":[68],"design":[69],"computational":[70],"models":[71,101],"for":[72,83],"examining":[73],"how":[74],"automatically":[75],"computed":[76],"information":[78],"can":[79,106],"be":[80],"profitably":[81],"exploited":[82],"classification.":[85],"Experiments":[86],"on":[87],"our":[88],"reason-annotated":[89],"corpus":[90],"ideological":[92],"posts":[94],"from":[95],"four":[96],"domains":[97],"demonstrate":[98],"that":[99],"sophisticated":[100],"stances":[103],"indeed":[107],"yield":[108],"more":[109],"accurate":[110],"results":[115],"than":[116],"their":[117],"simpler":[118],"counterparts.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":33},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
