{"id":"https://openalex.org/W2570821393","doi":"https://doi.org/10.1162/tacl_a_00003","title":"Joint Semantic Synthesis and Morphological Analysis of the Derived Word","display_name":"Joint Semantic Synthesis and Morphological Analysis of the Derived Word","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2570821393","doi":"https://doi.org/10.1162/tacl_a_00003","mag":"2570821393"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00003","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00003","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00003","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00003","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061951606","display_name":"Ryan Cotterell","orcid":"https://orcid.org/0000-0003-4080-1833"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan Cotterell","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University,","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071144367","display_name":"Hinrich Sch\u00fctze","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hinrich Sch\u00fctze","raw_affiliation_strings":["CIS, LMU Munich,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIS, LMU Munich,","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061951606","https://openalex.org/A5071144367"],"corresponding_institution_ids":["https://openalex.org/I145311948","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":3.9311,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94720497,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"33","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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9975000023841858,"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/morpheme","display_name":"Morpheme","score":0.8929295539855957},{"id":"https://openalex.org/keywords/principle-of-compositionality","display_name":"Principle of compositionality","score":0.8626511096954346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067333698272705},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6979262828826904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6467428803443909},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6182858347892761},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5876311659812927},{"id":"https://openalex.org/keywords/word-formation","display_name":"Word formation","score":0.4925456941127777},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45160046219825745},{"id":"https://openalex.org/keywords/semantic-property","display_name":"Semantic property","score":0.43676257133483887},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.43480533361434937},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.41001462936401367},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3707509934902191},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3640568256378174}],"concepts":[{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.8929295539855957},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.8626511096954346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067333698272705},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6979262828826904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6467428803443909},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6182858347892761},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5876311659812927},{"id":"https://openalex.org/C2777509023","wikidata":"https://www.wikidata.org/wiki/Q327358","display_name":"Word formation","level":2,"score":0.4925456941127777},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45160046219825745},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.43676257133483887},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.43480533361434937},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.41001462936401367},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3707509934902191},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3640568256378174},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00003","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00003","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00003","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:63c0a2966f5c441dbf33410bb6b67185","is_oa":false,"landing_page_url":"https://doaj.org/article/63c0a2966f5c441dbf33410bb6b67185","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 6 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00003","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00003","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00003","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"},{"id":"https://openalex.org/F4320333566","display_name":"National Defense Science and Engineering Graduate","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2570821393.pdf","grobid_xml":"https://content.openalex.org/works/W2570821393.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W14331692","https://openalex.org/W233744722","https://openalex.org/W606588248","https://openalex.org/W1503398984","https://openalex.org/W1505680913","https://openalex.org/W1511986666","https://openalex.org/W1513168562","https://openalex.org/W1557757161","https://openalex.org/W1558797106","https://openalex.org/W1598851216","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1711163617","https://openalex.org/W1766290689","https://openalex.org/W1839584883","https://openalex.org/W1860935423","https://openalex.org/W1899794420","https://openalex.org/W1938755728","https://openalex.org/W1957775505","https://openalex.org/W2047603832","https://openalex.org/W2053306448","https://openalex.org/W2064318101","https://openalex.org/W2064675550","https://openalex.org/W2101609803","https://openalex.org/W2102443632","https://openalex.org/W2103152638","https://openalex.org/W2103170111","https://openalex.org/W2105378193","https://openalex.org/W2110485445","https://openalex.org/W2119423321","https://openalex.org/W2120340025","https://openalex.org/W2123703928","https://openalex.org/W2125031621","https://openalex.org/W2125838338","https://openalex.org/W2130942839","https://openalex.org/W2137607259","https://openalex.org/W2146502635","https://openalex.org/W2150355110","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2158028897","https://openalex.org/W2158188757","https://openalex.org/W2161223332","https://openalex.org/W2165131173","https://openalex.org/W2167419393","https://openalex.org/W2170716495","https://openalex.org/W2173928607","https://openalex.org/W2211744643","https://openalex.org/W2251012068","https://openalex.org/W2251565024","https://openalex.org/W2251670681","https://openalex.org/W2251737533","https://openalex.org/W2251752871","https://openalex.org/W2251966070","https://openalex.org/W2294860948","https://openalex.org/W2294970769","https://openalex.org/W2296590378","https://openalex.org/W2461808544","https://openalex.org/W2470595162","https://openalex.org/W2564287196","https://openalex.org/W2798487504","https://openalex.org/W2962875366","https://openalex.org/W2963672540","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W3020882730","https://openalex.org/W4231741839"],"related_works":["https://openalex.org/W2466768907","https://openalex.org/W2791858227","https://openalex.org/W2361481624","https://openalex.org/W4280575942","https://openalex.org/W2075530739","https://openalex.org/W4388277500","https://openalex.org/W2391986003","https://openalex.org/W59105588","https://openalex.org/W3113616367","https://openalex.org/W617054046"],"abstract_inverted_index":{"Much":[0],"like":[1],"sentences":[2],"are":[3,9],"composed":[4,10],"of":[5,11,31,42,51,55,65,77,85,96,99,104,121,165,194],"words,":[6],"words":[7,113],"themselves":[8],"smaller":[12],"units.":[13],"For":[14],"example,":[15],"the":[16,32,43,49,53,56,63,83,94,97,102,127,183,187],"English":[17,130],"word":[18,33,57,78,87],"questionably":[19],"can":[20,58],"be":[21,59],"analyzed":[22],"as":[23],"question+":[24],"able+":[25],"ly.":[26],"However,":[27],"this":[28,69],"structural":[29],"decomposition":[30],"does":[34],"not":[35],"directly":[36],"give":[37],"us":[38],"a":[39,73,86,191],"semantic":[40,119],"representation":[41],"word\u2019s":[44],"meaning.":[45],"Since":[46],"morphology":[47],"obeys":[48],"principle":[50],"compositionality,":[52],"semantics":[54,146],"systematically":[60],"derived":[61],"from":[62,101],"meaning":[64,98],"its":[66,90],"parts.":[67],"In":[68],"work,":[70],"we":[71,161,181],"propose":[72],"novel":[74],"probabilistic":[75],"model":[76,108,128],"formation":[79],"that":[80,143,169],"captures":[81],"both":[82,148],"analysis":[84],"w":[88,100],"into":[89,114],"constituent":[91],"segments":[92],"and":[93,116,133,151,158],"synthesis":[95],"meanings":[103],"those":[105,122],"segments.":[106],"Our":[107],"jointly":[109,144],"learns":[110],"to":[111,185,190],"segment":[112],"morphemes":[115],"compose":[117],"distributional":[118],"vectors":[120],"morphemes.":[123],"We":[124,141],"experiment":[125],"with":[126],"on":[129],"CELEX":[131],"data":[132],"German":[134],"DErivBase":[135],"(Zeller":[136],"et":[137],"al.,":[138],"2013)":[139],"data.":[140],"show":[142],"modeling":[145],"increases":[147],"segmentation":[149],"accuracy":[150],"morpheme":[152],"F":[153],"1":[154],"by":[155],"between":[156],"3%":[157],"5%.":[159],"Additionally,":[160],"investigate":[162],"different":[163],"models":[164],"vector":[166],"composition,":[167],"showing":[168],"recurrent":[170],"neural":[171],"networks":[172],"yield":[173],"an":[174],"improvement":[175],"over":[176],"simple":[177],"additive":[178],"models.":[179],"Finally,":[180],"study":[182],"degree":[184],"which":[186],"representations":[188],"correspond":[189],"linguist\u2019s":[192],"notion":[193],"morphological":[195],"productivity.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}