{"id":"https://openalex.org/W4321855295","doi":"https://doi.org/10.48550/arxiv.2302.12239","title":"Deep neural networks and humans both benefit from compositional language structure","display_name":"Deep neural networks and humans both benefit from compositional language structure","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4321855295","doi":"https://doi.org/10.48550/arxiv.2302.12239"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.12239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12239","pdf_url":"https://arxiv.org/pdf/2302.12239","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.12239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077989893","display_name":"Lukas Galke","orcid":"https://orcid.org/0000-0001-6124-1092"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Galke, Lukas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049174192","display_name":"Yoav Ram","orcid":"https://orcid.org/0000-0002-9653-4458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ram, Yoav","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002334957","display_name":"Limor Raviv","orcid":"https://orcid.org/0000-0002-0716-3553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raviv, Limor","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077989893"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9872999787330627,"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":0.9559000134468079,"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/learnability","display_name":"Learnability","score":0.9021664261817932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995567679405212},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6748913526535034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311467885971069},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.602923572063446},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5304272174835205},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5242835879325867},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5019047260284424},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4643365144729614},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42541104555130005},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4230629801750183},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41334858536720276},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14082294702529907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11492529511451721},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08325180411338806}],"concepts":[{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.9021664261817932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995567679405212},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6748913526535034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311467885971069},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.602923572063446},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5304272174835205},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5242835879325867},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5019047260284424},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4643365144729614},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42541104555130005},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4230629801750183},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41334858536720276},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14082294702529907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11492529511451721},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08325180411338806},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:2302.12239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12239","pdf_url":"https://arxiv.org/pdf/2302.12239","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2302.12239","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.12239","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.14205451","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14205451","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"},{"id":"doi:10.5281/zenodo.14205452","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14205452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.12239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.12239","pdf_url":"https://arxiv.org/pdf/2302.12239","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321855295.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4302791369","https://openalex.org/W2951285859","https://openalex.org/W2766040214","https://openalex.org/W72092541","https://openalex.org/W37360785","https://openalex.org/W1973394166","https://openalex.org/W180475243","https://openalex.org/W2098466205","https://openalex.org/W1966604104","https://openalex.org/W2066099325"],"abstract_inverted_index":{"Deep":[0],"neural":[1,60,76,109,116,127],"networks":[2,77,117,128],"drive":[3],"the":[4,97],"success":[5],"of":[6,13,92,102],"natural":[7],"language":[8,14,69,105],"processing.":[9],"A":[10],"fundamental":[11],"property":[12],"is":[15],"its":[16],"compositional":[17,33,93,132],"structure,":[18],"allowing":[19],"humans":[20,80],"to":[21,40,79,130,146],"systematically":[22],"produce":[23],"forms":[24],"for":[25,58,67,122],"new":[26],"meanings.":[27],"For":[28],"humans,":[29],"languages":[30,86,133],"with":[31,44],"more":[32,123,131,135],"and":[34,46,83,99,107,111,143],"transparent":[35],"structures":[36],"are":[37],"typically":[38],"easier":[39],"learn":[41],"than":[42],"those":[43],"opaque":[45],"irregular":[47],"structures.":[48],"However,":[49],"this":[50],"learnability":[51,120],"advantage":[52,121],"has":[53],"not":[54],"yet":[55],"been":[56],"shown":[57],"deep":[59,115],"networks,":[61,110],"limiting":[62],"their":[63,90],"use":[64],"as":[65],"models":[66],"human":[68,147],"learning.":[70],"Here,":[71],"we":[72],"directly":[73],"test":[74],"how":[75],"compare":[78],"in":[81,89],"learning":[82],"generalizing":[84],"different":[85,141],"that":[87,113],"vary":[88],"degree":[91],"structure.":[94],"We":[95],"evaluate":[96],"memorization":[98],"generalization":[100],"capabilities":[101],"a":[103,119],"large":[104],"model":[106],"recurrent":[108],"show":[112,134],"both":[114],"exhibit":[118],"structured":[124],"linguistic":[125],"input:":[126],"exposed":[129],"systematic":[136],"generalization,":[137],"greater":[138,144],"agreement":[139],"between":[140],"agents,":[142],"similarity":[145],"learners.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2023-02-25T00:00:00"}
