{"id":"https://openalex.org/W2963167303","doi":"https://doi.org/10.18653/v1/w17-5232","title":"EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity","display_name":"EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963167303","doi":"https://doi.org/10.18653/v1/w17-5232","mag":"2963167303"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5232","pdf_url":"https://www.aclweb.org/anthology/W17-5232.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5232.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035562693","display_name":"Edison Marrese-Taylor","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Edison Marrese-Taylor","raw_affiliation_strings":["Graduate School of Engineering The University of Tokyo Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering The University of Tokyo Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074059447","display_name":"Yutaka Matsuo","orcid":"https://orcid.org/0000-0002-2070-4393"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yutaka Matsuo","raw_affiliation_strings":["Graduate School of Engineering The University of Tokyo Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering The University of Tokyo Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074059447"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66688729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.9980000257492065,"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/T12488","display_name":"Mental Health via Writing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7528222799301147},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7095649838447571},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5866687893867493},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5389336943626404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140155553817749},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48690927028656006},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36643099784851074},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3512074053287506},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3203057646751404},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0632372796535492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528222799301147},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7095649838447571},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5866687893867493},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5389336943626404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140155553817749},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48690927028656006},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36643099784851074},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3512074053287506},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3203057646751404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0632372796535492},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-5232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5232","pdf_url":"https://www.aclweb.org/anthology/W17-5232.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5232","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5232","pdf_url":"https://www.aclweb.org/anthology/W17-5232.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 8th Workshop on Computational Approaches to\n          Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963167303.pdf","grobid_xml":"https://content.openalex.org/works/W2963167303.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W371426616","https://openalex.org/W1869752048","https://openalex.org/W2243226955","https://openalex.org/W2250539671","https://openalex.org/W2277498883","https://openalex.org/W2399456070","https://openalex.org/W2963069010","https://openalex.org/W2963177779","https://openalex.org/W2963223838","https://openalex.org/W2963881946","https://openalex.org/W2963974889","https://openalex.org/W2964235962"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2375873920","https://openalex.org/W2183306018","https://openalex.org/W2146114872","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2392060890","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2392760275"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"describe":[4],"a":[5,25],"deep":[6],"learning":[7,27],"system":[8],"that":[9,40],"has":[10],"been":[11],"designed":[12],"and":[13,46],"built":[14],"for":[15],"the":[16,62],"WASSA":[17],"2017":[18],"Emotion":[19],"Intensity":[20],"Shared":[21],"Task.":[22],"We":[23],"introduce":[24],"representation":[26],"approach":[28],"based":[29],"on":[30,33,59],"inner":[31],"attention":[32],"top":[34],"of":[35],"an":[36],"RNN.":[37],"Results":[38],"show":[39],"our":[41],"model":[42],"offers":[43],"good":[44],"capabilities":[45],"is":[47],"able":[48],"to":[49,54],"successfully":[50],"identify":[51],"emotionbearing":[52],"words":[53],"predict":[55],"intensity":[56],"without":[57],"leveraging":[58],"lexicons,":[60],"obtaining":[61],"13":[63],"th":[64],"place":[65],"among":[66],"22":[67],"shared":[68],"task":[69],"competitors.":[70]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}