{"id":"https://openalex.org/W2899435814","doi":"https://doi.org/10.18653/v1/d18-1508","title":"Interpretable Emoji Prediction via Label-Wise Attention LSTMs","display_name":"Interpretable Emoji Prediction via Label-Wise Attention LSTMs","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2899435814","doi":"https://doi.org/10.18653/v1/d18-1508","mag":"2899435814"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1508","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1508","pdf_url":"https://www.aclweb.org/anthology/D18-1508.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 2018 Conference on Empirical Methods in Natural Language Processing","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/D18-1508.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102984496","display_name":"Francesco Barbieri","orcid":"https://orcid.org/0000-0002-2144-8440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Barbieri","raw_affiliation_strings":["\u2666 Large Scale Text Understanding Systems Lab, TALN, UPF, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2666 Large Scale Text Understanding Systems Lab, TALN, UPF, Barcelona, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002661723","display_name":"Luis Espinosa-Anke","orcid":"https://orcid.org/0000-0001-6830-9176"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luis Espinosa-Anke","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086289154","display_name":"Jos\u00e9 Camacho-Collados","orcid":"https://orcid.org/0000-0003-1618-7239"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose Camacho-Collados","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052196540","display_name":"Steven Schockaert","orcid":"https://orcid.org/0000-0002-9256-2881"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven Schockaert","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046825099","display_name":"Horacio Saggion","orcid":"https://orcid.org/0000-0003-0016-7807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Horacio Saggion","raw_affiliation_strings":["\u2666 Large Scale Text Understanding Systems Lab, TALN, UPF, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2666 Large Scale Text Understanding Systems Lab, TALN, UPF, Barcelona, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3767,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.92175702,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4766","last_page":"4771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.9988999962806702,"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/T13155","display_name":"Digital Communication and Language","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9943000078201294,"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/emoji","display_name":"Emoji","score":0.9864009618759155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8077328205108643},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7726598381996155},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6468262672424316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5985812544822693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5507519841194153},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4469873607158661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36524462699890137},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.35095101594924927},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10881328582763672},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10554534196853638}],"concepts":[{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.9864009618759155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077328205108643},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7726598381996155},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6468262672424316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985812544822693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5507519841194153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4469873607158661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36524462699890137},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.35095101594924927},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10881328582763672},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10554534196853638},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/d18-1508","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1508","pdf_url":"https://www.aclweb.org/anthology/D18-1508.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori.upf.edu:10230/35940","is_oa":false,"landing_page_url":"http://hdl.handle.net/10230/35940","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:114794","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1508","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1508","pdf_url":"https://www.aclweb.org/anthology/D18-1508.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899435814.pdf","grobid_xml":"https://content.openalex.org/works/W2899435814.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1853947067","https://openalex.org/W1902237438","https://openalex.org/W1983440957","https://openalex.org/W2122522916","https://openalex.org/W2133564696","https://openalex.org/W2470673105","https://openalex.org/W2535739320","https://openalex.org/W2549835527","https://openalex.org/W2571906210","https://openalex.org/W2594184914","https://openalex.org/W2597655663","https://openalex.org/W2601421748","https://openalex.org/W2617379756","https://openalex.org/W2770617756","https://openalex.org/W2806198715","https://openalex.org/W2806838925","https://openalex.org/W2963626623","https://openalex.org/W2964308564","https://openalex.org/W3105179304","https://openalex.org/W3106003309"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3214231824","https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2985411437","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W2915013665","https://openalex.org/W2905433371"],"abstract_inverted_index":{"Human":[0],"language":[1],"has":[2],"evolved":[3],"towards":[4],"newer":[5],"forms":[6],"of":[7,31,38,89],"communication":[8],"such":[9],"as":[10],"social":[11],"media,":[12],"where":[13],"emojis":[14],"(i.e.,":[15],"ideograms":[16],"bearing":[17],"a":[18,22,49,55,59,67],"visual":[19],"meaning)":[20],"play":[21],"key":[23],"role.":[24],"While":[25],"there":[26,41],"is":[27,42],"an":[28],"increasing":[29],"body":[30],"work":[32],"aimed":[33],"at":[34],"the":[35,78],"computational":[36,50],"modeling":[37],"emoji":[39,57,81,102],"semantics,":[40],"currently":[43],"little":[44],"understanding":[45],"about":[46],"what":[47],"makes":[48],"model":[51],"represent":[52],"or":[53],"predict":[54],"given":[56],"in":[58,87,101],"certain":[60],"way.":[61],"In":[62,83],"this":[63],"paper":[64],"we":[65,73,91],"propose":[66],"label-wise":[68],"attention":[69],"mechanism":[70],"with":[71],"which":[72],"attempt":[74],"to":[75,85],"better":[76],"understand":[77],"nuances":[79],"underlying":[80],"prediction.":[82],"addition":[84],"advantages":[86],"terms":[88],"interpretability,":[90],"show":[92],"that":[93],"our":[94],"proposed":[95],"architecture":[96],"improves":[97],"over":[98],"standard":[99],"baselines":[100],"prediction,":[103],"and":[104],"does":[105],"particularly":[106],"well":[107],"when":[108],"predicting":[109],"infrequent":[110],"emojis.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}