{"id":"https://openalex.org/W2250495969","doi":"https://doi.org/10.3115/v1/p14-1145","title":"ConnotationWordNet: Learning Connotation over the Word+Sense Network","display_name":"ConnotationWordNet: Learning Connotation over the Word+Sense Network","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250495969","doi":"https://doi.org/10.3115/v1/p14-1145","mag":"2250495969"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-1145","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1145","pdf_url":"https://aclanthology.org/P14-1145.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-1145.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101909712","display_name":"J. KANG","orcid":"https://orcid.org/0000-0002-6384-891X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Seok Kang","raw_affiliation_strings":["Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102993141","display_name":"Song Feng","orcid":"https://orcid.org/0000-0002-7760-1854"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Feng","raw_affiliation_strings":["Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001634795","display_name":"Leman Akoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leman Akoglu","raw_affiliation_strings":["Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102992157","display_name":"Yejin Choi","orcid":"https://orcid.org/0000-0003-3032-5378"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yejin Choi","raw_affiliation_strings":["Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Stony Brook University Stony Brook, NY 11794-4400","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101909712"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":5.4969,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95974127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1544","last_page":"1554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.9987999796867371,"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/lexicon","display_name":"Lexicon","score":0.8110283613204956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616841197013855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6713474988937378},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.656187891960144},{"id":"https://openalex.org/keywords/connotation","display_name":"Connotation","score":0.6286923885345459},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6221020221710205},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6106407642364502},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.5562046766281128},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.4583413600921631},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43694955110549927},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.41679805517196655},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.41530197858810425},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2905617952346802},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18714484572410583}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8110283613204956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616841197013855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6713474988937378},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.656187891960144},{"id":"https://openalex.org/C2778120531","wikidata":"https://www.wikidata.org/wiki/Q661062","display_name":"Connotation","level":2,"score":0.6286923885345459},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6221020221710205},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6106407642364502},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.5562046766281128},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.4583413600921631},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43694955110549927},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.41679805517196655},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.41530197858810425},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2905617952346802},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18714484572410583},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p14-1145","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1145","pdf_url":"https://aclanthology.org/P14-1145.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-1145","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-1145","pdf_url":"https://aclanthology.org/P14-1145.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 52nd 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/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3424441068","display_name":null,"funder_award_id":"W911NF-14-1","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7237231903","display_name":null,"funder_award_id":"W911NF-14-1-0029","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320308204","display_name":"Northrop Grumman","ror":"https://ror.org/05kewds18"},{"id":"https://openalex.org/F4320331904","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250495969.pdf","grobid_xml":"https://content.openalex.org/works/W2250495969.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W145806832","https://openalex.org/W193524605","https://openalex.org/W359818833","https://openalex.org/W658295343","https://openalex.org/W1567365482","https://openalex.org/W1567885833","https://openalex.org/W1593045043","https://openalex.org/W1951269370","https://openalex.org/W1979230891","https://openalex.org/W2011342764","https://openalex.org/W2014902591","https://openalex.org/W2017238344","https://openalex.org/W2019599312","https://openalex.org/W2022204871","https://openalex.org/W2052122479","https://openalex.org/W2053913299","https://openalex.org/W2067562553","https://openalex.org/W2069323107","https://openalex.org/W2077233202","https://openalex.org/W2082291422","https://openalex.org/W2097162496","https://openalex.org/W2099104810","https://openalex.org/W2105468141","https://openalex.org/W2131090205","https://openalex.org/W2131305515","https://openalex.org/W2132308445","https://openalex.org/W2141747195","https://openalex.org/W2141790691","https://openalex.org/W2148123869","https://openalex.org/W2153959628","https://openalex.org/W2162010436","https://openalex.org/W2163114435","https://openalex.org/W2180724871","https://openalex.org/W2199803028","https://openalex.org/W2250591324","https://openalex.org/W2251872787","https://openalex.org/W2282288858","https://openalex.org/W2313494261","https://openalex.org/W2787893582","https://openalex.org/W3133994440"],"related_works":["https://openalex.org/W1573992054","https://openalex.org/W1599690842","https://openalex.org/W2753053412","https://openalex.org/W2665157442","https://openalex.org/W3108840034","https://openalex.org/W4388169484","https://openalex.org/W2363259562","https://openalex.org/W3036937347","https://openalex.org/W3149224203","https://openalex.org/W2914339338"],"abstract_inverted_index":{"We":[0,15,69],"introduce":[1],"ConnotationWordNet,":[2],"a":[3,30],"connotation":[4,87],"lexicon":[5,18,82],"over":[6,24],"the":[7,17,47,53,61,75,80],"network":[8],"of":[9,40,55,79],"words":[10],"in":[11,67,83],"conjunction":[12],"with":[13],"senses.":[14],"formulate":[16],"induction":[19],"problem":[20],"as":[21],"collective":[22],"inference":[23],"pairwise-Markov":[25],"Random":[26],"Fields,":[27],"and":[28,77,88],"present":[29,70],"loopy":[31],"belief":[32],"propagation":[33],"algorithm":[34],"for":[35],"inference.":[36],"The":[37],"key":[38],"aspect":[39],"our":[41],"method":[42],"is":[43,46],"that":[44,51],"it":[45],"first":[48],"unified":[49],"approach":[50],"assigns":[52],"polarity":[54],"both":[56],"word-and":[57],"sense-level":[58],"connotations,":[59],"exploiting":[60],"innate":[62],"bipartite":[63],"graph":[64],"structure":[65],"encoded":[66],"WordNet.":[68],"comprehensive":[71],"evaluation":[72],"to":[73,85],"demonstrate":[74],"quality":[76],"utility":[78],"resulting":[81],"comparison":[84],"existing":[86],"sentiment":[89],"lexicons.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}