{"id":"https://openalex.org/W2952762094","doi":"https://doi.org/10.1017/s1351324920000510","title":"Improving sentiment analysis with multi-task learning of negation","display_name":"Improving sentiment analysis with multi-task learning of negation","publication_year":2020,"publication_date":"2020-11-11","ids":{"openalex":"https://openalex.org/W2952762094","doi":"https://doi.org/10.1017/s1351324920000510","mag":"2952762094"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324920000510","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324920000510","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.07610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jeremy Barnes","orcid":"https://orcid.org/0000-0002-8043-8058"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jeremy Barnes","raw_affiliation_strings":["Language Technology Group, University of Oslo, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-8043-8058","affiliations":[{"raw_affiliation_string":"Language Technology Group, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Erik Velldal","orcid":null},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Erik Velldal","raw_affiliation_strings":["Language Technology Group, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Group, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lilja \u00d8vrelid","orcid":null},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Lilja \u00d8vrelid","raw_affiliation_strings":["Language Technology Group, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Group, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184942183"],"apc_list":{"value":3160,"currency":"USD","value_usd":3160},"apc_paid":null,"fwci":2.1307,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8950279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"2","first_page":"249","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9593999981880188,"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":0.9593999981880188,"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":0.010700000450015068,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0024999999441206455,"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/negation","display_name":"Negation","score":0.9344000220298767},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6092000007629395},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5691999793052673},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5113999843597412},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.47029998898506165},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.37940001487731934}],"concepts":[{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.9344000220298767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8697999715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6646999716758728},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6092000007629395},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6014000177383423},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5691999793052673},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5113999843597412},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1351324920000510","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324920000510","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1906.07610","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.07610","pdf_url":"https://arxiv.org/pdf/1906.07610","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.07610","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.07610","pdf_url":"https://arxiv.org/pdf/1906.07610","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W245104810","https://openalex.org/W630883834","https://openalex.org/W782030620","https://openalex.org/W1614862348","https://openalex.org/W1782003667","https://openalex.org/W1843248874","https://openalex.org/W1954622760","https://openalex.org/W1961993270","https://openalex.org/W1963753246","https://openalex.org/W1982464493","https://openalex.org/W2032021697","https://openalex.org/W2035703356","https://openalex.org/W2048658075","https://openalex.org/W2057399676","https://openalex.org/W2063596712","https://openalex.org/W2079735306","https://openalex.org/W2084046180","https://openalex.org/W2105827650","https://openalex.org/W2119981693","https://openalex.org/W2141179513","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2250374929","https://openalex.org/W2250473257","https://openalex.org/W2250879510","https://openalex.org/W2251332263","https://openalex.org/W2251939518","https://openalex.org/W2251956625","https://openalex.org/W2407776548","https://openalex.org/W2508309896","https://openalex.org/W2516255829","https://openalex.org/W2531161093","https://openalex.org/W2566847560","https://openalex.org/W2590925815","https://openalex.org/W2592170186","https://openalex.org/W2608018997","https://openalex.org/W2624275270","https://openalex.org/W2739897331","https://openalex.org/W2740027944","https://openalex.org/W2740582239","https://openalex.org/W2760314189","https://openalex.org/W2799100448","https://openalex.org/W2890407764","https://openalex.org/W2892080636","https://openalex.org/W2896457183","https://openalex.org/W2900120976","https://openalex.org/W2952357537","https://openalex.org/W2952762094","https://openalex.org/W2962739339","https://openalex.org/W2963026768","https://openalex.org/W2963168538","https://openalex.org/W2963355447","https://openalex.org/W2963917673","https://openalex.org/W2964094426","https://openalex.org/W2964139237","https://openalex.org/W2966182616","https://openalex.org/W2972573244","https://openalex.org/W4205184193","https://openalex.org/W4210984920","https://openalex.org/W6601732736","https://openalex.org/W6631190155","https://openalex.org/W6683738474","https://openalex.org/W6718766952","https://openalex.org/W6751670177","https://openalex.org/W6751849352","https://openalex.org/W6890416882"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Sentiment":[1],"analysis":[2],"is":[3,129],"directly":[4],"affected":[5],"by":[6],"compositional":[7],"phenomena":[8],"in":[9,23,33,74,84],"language":[10],"that":[11,51,108],"act":[12],"on":[13,55],"the":[14,18,24,26,49,56,111,121],"prior":[15],"polarity":[16,58],"of":[17,29,59,101,124,146,157],"words":[19],"and":[20,32,47,94,106,141,155,160],"phrases":[21],"found":[22],"text.Negationis":[25],"most":[27],"prevalent":[28],"these":[30],"phenomena,":[31],"order":[34],"to":[35,44,68,150],"correctly":[36],"predict":[37],"sentiment,":[38],"a":[39,60,65,92],"classifier":[40],"must":[41],"be":[42],"able":[43],"identify":[45],"negation":[46,73,82,114],"disentangle":[48],"effect":[50,128],"its":[52,151],"scope":[53],"has":[54],"final":[57],"text.":[61],"This":[62],"paper":[63],"proposes":[64],"multi-task":[66,162],"approach":[67],"explicitly":[69,109],"incorporate":[70],"information":[71],"about":[72],"sentiment":[75,125],"analysis,":[76],"which":[77],"we":[78,142],"show":[79,107],"outperforms":[80],"learning":[81],"implicitly":[83],"an":[85,116],"end-to-end":[86],"manner.":[87],"We":[88],"describe":[89],"our":[90,147],"approach,":[91],"cascading":[93],"hierarchical":[95],"neural":[96],"architecture":[97],"with":[98,113],"selective":[99],"sharing":[100],"Long":[102],"Short-term":[103],"Memory":[104],"layers,":[105],"training":[110],"model":[112],"as":[115],"auxiliary":[117],"task":[118,123],"helps":[119],"improve":[120],"main":[122],"analysis.":[126],"The":[127],"demonstrated":[130],"across":[131],"several":[132,144],"different":[133,161],"standard":[134],"English-language":[135],"data":[136,159],"sets":[137],"for":[138],"both":[139],"tasks,":[140],"analyze":[143],"aspects":[145],"system":[148],"related":[149],"performance,":[152],"varying":[153],"types":[154],"amounts":[156],"input":[158],"setups.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2019-06-27T00:00:00"}