{"id":"https://openalex.org/W2779014967","doi":"https://doi.org/10.1145/3148011.3154478","title":"Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets","display_name":"Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2779014967","doi":"https://doi.org/10.1145/3148011.3154478","mag":"2779014967"},"language":"en","primary_location":{"id":"doi:10.1145/3148011.3154478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3154478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058488564","display_name":"Rafael Peres da Silva","orcid":"https://orcid.org/0000-0002-0854-1595"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rafael Peres","raw_affiliation_strings":["Federal University of Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073944409","display_name":"Diego Esteves","orcid":"https://orcid.org/0000-0002-1676-545X"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diego Esteves","raw_affiliation_strings":["University of Bonn, Germany, SDA Research"],"affiliations":[{"raw_affiliation_string":"University of Bonn, Germany, SDA Research","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044599885","display_name":"Gaurav Maheshwari","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gaurav Maheshwari","raw_affiliation_strings":["University of Bonn, Germany, SDA Research"],"affiliations":[{"raw_affiliation_string":"University of Bonn, Germany, SDA Research","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058488564"],"corresponding_institution_ids":["https://openalex.org/I122140584"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.19834435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9980999827384949,"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":0.9940999746322632,"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/named-entity-recognition","display_name":"Named-entity recognition","score":0.8560795783996582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8411259651184082},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7027394771575928},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6584842205047607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6417381763458252},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6104119420051575},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5293006896972656},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5273662209510803},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.49946117401123047},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4874403774738312},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.4605274796485901},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44598332047462463},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42971470952033997},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.42615973949432373},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4146282374858856},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3420882225036621},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15112382173538208}],"concepts":[{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.8560795783996582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411259651184082},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7027394771575928},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6584842205047607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6417381763458252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6104119420051575},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5293006896972656},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5273662209510803},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.49946117401123047},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4874403774738312},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4605274796485901},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44598332047462463},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42971470952033997},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.42615973949432373},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4146282374858856},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3420882225036621},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15112382173538208},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148011.3154478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3154478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1677182931","https://openalex.org/W1940872118","https://openalex.org/W1951325712","https://openalex.org/W2020278455","https://openalex.org/W2064675550","https://openalex.org/W2096765155","https://openalex.org/W2143933463","https://openalex.org/W2144578941","https://openalex.org/W2145111356","https://openalex.org/W2153848201","https://openalex.org/W2158899491","https://openalex.org/W2171477123","https://openalex.org/W2296283641","https://openalex.org/W2579198251","https://openalex.org/W2588986918","https://openalex.org/W2737887843","https://openalex.org/W2757947833","https://openalex.org/W2799448136","https://openalex.org/W2962902328","https://openalex.org/W2963991911"],"related_works":["https://openalex.org/W189110383","https://openalex.org/W3047727388","https://openalex.org/W2132038179","https://openalex.org/W2961904766","https://openalex.org/W2165958952","https://openalex.org/W2027233318","https://openalex.org/W3094868181","https://openalex.org/W3201257042","https://openalex.org/W3189432386","https://openalex.org/W2062502130"],"abstract_inverted_index":{"Lately,":[0],"with":[1,33,171],"the":[2,34,57,101,191],"increasing":[3],"popularity":[4],"of":[5,45,75,104,137,156,177,190],"social":[6],"media":[7],"technologies,":[8],"applying":[9],"natural":[10,90],"language":[11],"processing":[12],"for":[13,117,140],"mining":[14],"information":[15],"in":[16,106,115,119],"tweets":[17,41,118,138],"has":[18,26],"posed":[19],"itself":[20],"as":[21],"a":[22,43,84,89,133,154,172,188],"challenging":[23],"task":[24],"and":[25,37,52,81,143],"attracted":[27],"significant":[28],"research":[29],"efforts.":[30],"In":[31,97],"contrast":[32],"news":[35],"text":[36],"others":[38],"formal":[39,109],"content,":[40],"pose":[42],"number":[44],"new":[46,134],"challenges,":[47],"due":[48],"to":[49,69,83,92,165,187],"their":[50],"short":[51],"noisy":[53],"nature.":[54],"Thus,":[55],"over":[56,94],"past":[58],"decade,":[59],"different":[60,95],"Named":[61],"Entity":[62],"Recognition":[63],"(NER)":[64],"architectures":[65],"have":[66],"been":[67],"proposed":[68],"solve":[70],"this":[71,98,129],"problem.":[72],"However,":[73],"most":[74],"them":[76],"are":[77,112],"based":[78,161],"on":[79,108],"handcrafted-features":[80],"restricted":[82],"particular":[85],"domain,":[86],"which":[87],"imposes":[88],"barrier":[91],"generalize":[93],"contexts.":[96],"sense,":[99],"despite":[100],"long":[102],"line":[103],"work":[105],"NER":[107,116,151],"domains,":[110],"there":[111],"no":[113],"studies":[114],"Portuguese":[120],"(despite":[121],"17.97":[122],"million":[123],"monthly":[124],"active":[125],"users).":[126],"To":[127],"bridge":[128],"gap,":[130],"we":[131,147],"present":[132],"gold-standard":[135],"corpus":[136],"annotated":[139],"Person,":[141],"Location,":[142],"Organization":[144],"(PLO).":[145],"Additionally,":[146],"also":[148],"perform":[149],"multiple":[150],"experiments":[152],"using":[153],"variety":[155],"Long":[157],"Short-Term":[158],"Memory":[159],"(LSTM)":[160],"models":[162],"without":[163],"resorting":[164],"any":[166],"handcrafted":[167],"rules.":[168],"Our":[169],"approach":[170],"centered":[173],"context":[174],"input":[175],"window":[176],"word":[178],"embeddings":[179],"yields":[180],"52.78":[181],"F1":[182],"score,":[183],"38.68%":[184],"higher":[185],"compared":[186],"state":[189],"art":[192],"baseline":[193],"system.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
