{"id":"https://openalex.org/W2513458147","doi":"https://doi.org/10.18653/v1/p16-1151","title":"Discovery of Treatments from Text Corpora","display_name":"Discovery of Treatments from Text Corpora","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2513458147","doi":"https://doi.org/10.18653/v1/p16-1151","mag":"2513458147"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1151","pdf_url":"https://www.aclweb.org/anthology/P16-1151.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","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/P16-1151.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044246594","display_name":"Christian Fong","orcid":"https://orcid.org/0000-0001-8618-600X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Fong","raw_affiliation_strings":["Stanford University 655 Serra Street Stanford, CA 94305, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University 655 Serra Street Stanford, CA 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090665793","display_name":"Justin Grimmer","orcid":"https://orcid.org/0000-0001-6642-9799"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Grimmer","raw_affiliation_strings":["Stanford University 616 Serra Street Stanford, CA 94305, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University 616 Serra Street Stanford, CA 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1600","last_page":"1609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10108","display_name":"Electoral Systems and Political Participation","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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":0.6491169333457947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5434411764144897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38812509179115295},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32891371846199036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6491169333457947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5434411764144897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38812509179115295},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32891371846199036}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1151","pdf_url":"https://www.aclweb.org/anthology/P16-1151.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1151","pdf_url":"https://www.aclweb.org/anthology/P16-1151.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"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/W2513458147.pdf","grobid_xml":"https://content.openalex.org/works/W2513458147.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W430011393","https://openalex.org/W642897606","https://openalex.org/W1480376833","https://openalex.org/W1503042507","https://openalex.org/W1774953003","https://openalex.org/W1777241655","https://openalex.org/W1880262756","https://openalex.org/W1963921006","https://openalex.org/W1978108654","https://openalex.org/W1983221152","https://openalex.org/W1997809363","https://openalex.org/W2027033894","https://openalex.org/W2058248640","https://openalex.org/W2095635841","https://openalex.org/W2095655043","https://openalex.org/W2098062695","https://openalex.org/W2123159260","https://openalex.org/W2124747959","https://openalex.org/W2126658427","https://openalex.org/W2128002512","https://openalex.org/W2130339025","https://openalex.org/W2132558130","https://openalex.org/W2132917208","https://openalex.org/W2144981148","https://openalex.org/W2159300646","https://openalex.org/W2166325326","https://openalex.org/W2181710218","https://openalex.org/W2306119308","https://openalex.org/W2312209669","https://openalex.org/W2331384579","https://openalex.org/W2397129674","https://openalex.org/W2745098867","https://openalex.org/W3122632052","https://openalex.org/W4231510805","https://openalex.org/W4285719527","https://openalex.org/W4299542564","https://openalex.org/W4300505588"],"related_works":["https://openalex.org/W2357241418","https://openalex.org/W2789919619","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2115485936","https://openalex.org/W2293457016","https://openalex.org/W3022131925","https://openalex.org/W3169305685","https://openalex.org/W2792377126","https://openalex.org/W2349174110"],"abstract_inverted_index":{"An":[0],"extensive":[1],"literature":[2],"in":[3,76,116,139],"computational":[4],"social":[5],"science":[6],"examines":[7],"how":[8],"features":[9,26,41,161],"of":[10,27,42,54,58,96,123,136,143,162],"messages,":[11],"advertisements,":[12],"and":[13,69,79,98,125,131,146,165,171],"other":[14],"corpora":[15,78],"affect":[16],"individuals'":[17,126],"decisions,":[18],"but":[19,44],"these":[20,45,84,137],"analyses":[21],"must":[22],"specify":[23],"the":[24,28,31,52,89,93,100,134,151],"relevant":[25],"text":[29,34],"before":[30],"experiment.":[32],"Automated":[33],"analysis":[35],"methods":[36,46],"are":[37],"able":[38],"to":[39,50,72,91,105,113,128,153],"discover":[40,74,106,114],"text,":[43],"cannot":[47],"be":[48],"used":[49],"obtain":[51],"estimates":[53],"causal":[55,81],"effects-the":[56],"quantity":[57],"interest":[59],"for":[60,83,169,174],"applied":[61],"researchers.":[62],"We":[63,87,149],"introduce":[64,99],"a":[65,77,117,121,140,167,172],"new":[66,144],"experimental":[67],"design":[68],"statistical":[70],"model":[71,152],"simultaneously":[73],"treatments":[75,115],"estimate":[80,133],"effects":[82,95,135],"discovered":[85],"treatments.":[86,108],"prove":[88],"conditions":[90],"identify":[92],"treatment":[94],"texts":[97,124,145],"supervised":[101],"Indian":[102],"Buffet":[103],"process":[104],"those":[107,129],"Our":[109],"method":[110],"enables":[111],"us":[112],"training":[118],"set":[119,142],"using":[120],"collection":[122],"responses":[127],"texts,":[130],"then":[132],"interventions":[138],"test":[141],"survey":[147],"respondents.":[148],"apply":[150],"an":[154],"experiment":[155],"about":[156],"candidate":[157],"biographies,":[158],"recovering":[159],"intuitive":[160],"voters'":[163],"decisions":[164],"revealing":[166],"penalty":[168],"lawyers":[170],"bonus":[173],"military":[175],"service.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}