{"id":"https://openalex.org/W2250890741","doi":"https://doi.org/10.3115/v1/w14-0902","title":"Computational analysis to explore authors' depiction of characters","display_name":"Computational analysis to explore authors' depiction of characters","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250890741","doi":"https://doi.org/10.3115/v1/w14-0902","mag":"2250890741"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-0902","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0902","pdf_url":"https://aclanthology.org/W14-0902.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 3rd Workshop on Computational Linguistics for Literature (CLFL)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-0902.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084307487","display_name":"Joseph W. Bullard","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Bullard","raw_affiliation_strings":["Dept. of Computer Science Rochester Institute of Technology","Rochester Institute Of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Rochester Institute of Technology","institution_ids":[]},{"raw_affiliation_string":"Rochester Institute Of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067170834","display_name":"Cecilia Ovesdotter Alm","orcid":"https://orcid.org/0000-0002-8730-0916"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cecilia Ovesdotter Alm","raw_affiliation_strings":["Dept. of English Rochester Institute of Technology","Rochester Institute Of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of English Rochester Institute of Technology","institution_ids":[]},{"raw_affiliation_string":"Rochester Institute Of Technology","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9995999932289124,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9995999932289124,"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":0.9908999800682068,"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":0.9851999878883362,"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/depiction","display_name":"Depiction","score":0.716425359249115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613711714744568},{"id":"https://openalex.org/keywords/socioeconomic-status","display_name":"Socioeconomic status","score":0.6112593412399292},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6053824424743652},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5848321318626404},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5688198208808899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058038234710693},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4480552673339844},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3925710618495941},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.14363312721252441},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09549006819725037},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.06488987803459167}],"concepts":[{"id":"https://openalex.org/C2779702343","wikidata":"https://www.wikidata.org/wiki/Q1166770","display_name":"Depiction","level":2,"score":0.716425359249115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613711714744568},{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.6112593412399292},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6053824424743652},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5848321318626404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5688198208808899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058038234710693},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4480552673339844},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3925710618495941},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.14363312721252441},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09549006819725037},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.06488987803459167},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-0902","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0902","pdf_url":"https://aclanthology.org/W14-0902.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 3rd Workshop on Computational Linguistics for Literature (CLFL)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.671.4917","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.4917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-0902.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-0902","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0902","pdf_url":"https://aclanthology.org/W14-0902.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 3rd Workshop on Computational Linguistics for Literature (CLFL)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250890741.pdf","grobid_xml":"https://content.openalex.org/works/W2250890741.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W83230261","https://openalex.org/W83470646","https://openalex.org/W608695443","https://openalex.org/W1578038935","https://openalex.org/W2101234009","https://openalex.org/W2116899917","https://openalex.org/W2135417054","https://openalex.org/W2152460337","https://openalex.org/W2164075819","https://openalex.org/W4246488987","https://openalex.org/W4386344331"],"related_works":["https://openalex.org/W2354497654","https://openalex.org/W1521279281","https://openalex.org/W1925626449","https://openalex.org/W3012686786","https://openalex.org/W4239616774","https://openalex.org/W2375460546","https://openalex.org/W2112416132","https://openalex.org/W170685810","https://openalex.org/W2775654505","https://openalex.org/W2381432856"],"abstract_inverted_index":{"This":[0],"study":[1],"involves":[2],"automatically":[3],"identifying":[4],"the":[5,25,64,89,99,104,113],"sociolinguistic":[6,114],"characteristics":[7],"of":[8,51,112],"fictional":[9],"characters":[10],"in":[11,63,79],"plays":[12],"by":[13],"analyzing":[14],"their":[15,72,80],"written":[16],"\"speech\".":[17],"We":[18,96],"discuss":[19],"three":[20],"binary":[21],"classification":[22],"problems:":[23],"predicting":[24,110],"characters'":[26,90],"gender":[27],"(male":[28],"vs.":[29,33,40],"female),":[30],"age":[31],"(young":[32],"old),":[34],"and":[35,54,83,106],"socioeconomic":[36,77],"standing":[37],"(upper-middle":[38],"class":[39],"lower":[41],"class).":[42],"The":[43],"text":[44],"corpus":[45],"used":[46],"is":[47],"an":[48],"annotated":[49],"collection":[50],"August":[52],"Strindberg":[53],"Henrik":[55],"Ibsen":[56],"plays,":[57],"translated":[58],"into":[59],"English,":[60],"which":[61],"are":[62,86],"public":[65],"domain.":[66],"These":[67],"playwrights":[68],"were":[69],"chosen":[70],"for":[71,93],"known":[73],"attention":[74],"to":[75],"relevant":[76],"issues":[78],"work.":[81],"Linguistic":[82],"textual":[84],"cues":[85],"extracted":[87],"from":[88],"lines":[91],"(turns)":[92],"modeling":[94],"purposes.":[95],"report":[97],"on":[98],"dataset":[100],"as":[101,103],"well":[102],"performance":[105],"important":[107],"features":[108],"when":[109],"each":[111],"characteristics,":[115],"comparing":[116],"intra-and":[117],"inter-author":[118],"testing.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}