{"id":"https://openalex.org/W2515098781","doi":"https://doi.org/10.18653/v1/w16-2007","title":"Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection","display_name":"Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2515098781","doi":"https://doi.org/10.18653/v1/w16-2007","mag":"2515098781"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-2007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2007","pdf_url":"https://www.aclweb.org/anthology/W16-2007.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 14th SIGMORPHON Workshop on Computational Research\n          in Phonetics, Phonology, and Morphology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-2007.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027223654","display_name":"Roee Aharoni","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","IL"],"is_corresponding":true,"raw_author_name":"Roee Aharoni","raw_affiliation_strings":["Computer Science Department Bar Ilan University"],"affiliations":[{"raw_affiliation_string":"Computer Science Department Bar Ilan University","institution_ids":["https://openalex.org/I13955877","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028476919","display_name":"Yoav Goldberg","orcid":"https://orcid.org/0000-0002-6497-829X"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["FR","IL"],"is_corresponding":false,"raw_author_name":"Yoav Goldberg","raw_affiliation_strings":["Computer Science Department Bar Ilan University"],"affiliations":[{"raw_affiliation_string":"Computer Science Department Bar Ilan University","institution_ids":["https://openalex.org/I13955877","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051184573","display_name":"Yonatan Belinkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonatan Belinkov","raw_affiliation_strings":["CSAIL MIT"],"affiliations":[{"raw_affiliation_string":"CSAIL MIT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027223654"],"corresponding_institution_ids":["https://openalex.org/I13955877","https://openalex.org/I4210156583"],"apc_list":null,"apc_paid":null,"fwci":14.1891,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.98822095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9922999739646912,"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/inflection","display_name":"Inflection","score":0.9137445092201233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.758759617805481},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7215343713760376},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.666122317314148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5881239771842957},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5859933495521545},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5623888969421387},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5539688467979431},{"id":"https://openalex.org/keywords/morpho","display_name":"Morpho","score":0.5285265445709229},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4478604793548584},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4105803966522217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07116290926933289},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06720826029777527}],"concepts":[{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.9137445092201233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.758759617805481},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7215343713760376},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.666122317314148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5881239771842957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5859933495521545},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5623888969421387},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5539688467979431},{"id":"https://openalex.org/C2777261249","wikidata":"https://www.wikidata.org/wiki/Q645804","display_name":"Morpho","level":2,"score":0.5285265445709229},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4478604793548584},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4105803966522217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07116290926933289},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06720826029777527},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w16-2007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2007","pdf_url":"https://www.aclweb.org/anthology/W16-2007.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 14th SIGMORPHON Workshop on Computational Research\n          in Phonetics, Phonology, and Morphology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-2007","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-2007","pdf_url":"https://www.aclweb.org/anthology/W16-2007.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 14th SIGMORPHON Workshop on Computational Research\n          in Phonetics, Phonology, and Morphology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326823","display_name":"Intel Collaboration Research Institute for Computational Intelligence","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2515098781.pdf","grobid_xml":"https://content.openalex.org/works/W2515098781.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W201288405","https://openalex.org/W1513168562","https://openalex.org/W1522301498","https://openalex.org/W1642393990","https://openalex.org/W2047603832","https://openalex.org/W2079735306","https://openalex.org/W2103170111","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2160180181","https://openalex.org/W2251652123","https://openalex.org/W2294942296","https://openalex.org/W2470595162","https://openalex.org/W2508815538","https://openalex.org/W2886452452","https://openalex.org/W2949888546","https://openalex.org/W2963752701","https://openalex.org/W2963965928","https://openalex.org/W2964165364","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2495860046","https://openalex.org/W4245825737","https://openalex.org/W4252623201","https://openalex.org/W2211302168","https://openalex.org/W2569931262","https://openalex.org/W2478840300","https://openalex.org/W4211036162","https://openalex.org/W2187479637","https://openalex.org/W2243186313","https://openalex.org/W2980988137"],"abstract_inverted_index":{"Morphological":[0],"reinflection":[1,44,62],"is":[2],"the":[3,15,19,24,29,36,42,79,97,101,105,112,117,132],"task":[4,46,107],"of":[5,18,23,31,39,81,124],"generating":[6],"a":[7,11],"target":[8,20],"form":[9,13],"given":[10],"source":[12],"and":[14,35,88],"morpho-syntactic":[16,75],"attributes":[17],"(and,":[21],"optionally,":[22],"source).":[25],"This":[26],"work":[27],"presents":[28],"submission":[30,52,110],"Bar":[32],"Ilan":[33],"University":[34],"Massachusetts":[37],"Institute":[38],"Technology":[40],"for":[41,59,72,96],"morphological":[43,61],"shared":[45,106],"held":[47],"at":[48],"SIGMORPHON":[49],"2016.":[50],"The":[51,93],"includes":[53],"two":[54],"recurrent":[55],"neural":[56,89],"network":[57],"architectures":[58],"learning":[60],"from":[63],"incomplete":[64],"inflection":[65],"tables":[66],"while":[67,128],"using":[68],"several":[69],"novel":[70],"ideas":[71],"this":[73,109],"task:":[74],"attribute":[76],"embeddings,":[77],"modeling":[78],"concept":[80],"templatic":[82],"morphology,":[83],"bidirectional":[84],"input":[85],"character":[86],"representations":[87],"discriminative":[90],"string":[91],"transduction.":[92],"reported":[94],"results":[95],"proposed":[98],"models":[99],"over":[100],"ten":[102],"languages":[103],"in":[104],"bring":[108],"to":[111],"second/third":[113],"place":[114],"(depending":[115],"on":[116,119,131],"language)":[118],"all":[120],"three":[121],"sub-tasks":[122],"out":[123],"eight":[125],"participating":[126],"teams,":[127],"training":[129],"only":[130],"Restricted":[133],"category":[134],"data.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}