{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T05:17:19Z","timestamp":1792473439067,"version":"4.5.0"},"reference-count":109,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T00:00:00Z","timestamp":1688688000000},"content-version":"am","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T00:00:00Z","timestamp":1688688000000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000083","name":"Directorate for Computer and Information Science and Engineering","doi-asserted-by":"publisher","award":["1903783"],"award-info":[{"award-number":["1903783"]}],"id":[{"id":"10.13039\/100000083","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000083","name":"Directorate for Computer and Information Science and Engineering","doi-asserted-by":"publisher","award":["1607251"],"award-info":[{"award-number":["1607251"]}],"id":[{"id":"10.13039\/100000083","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cognitive Science"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad\u2010coverage tools from natural\u2010language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context\u2010free grammars (CFGs), yet such formalisms are not sufficiently expressive for human languages. Combinatory categorial grammars (CCGs) are sufficiently expressive directly compositional models of grammar with flexible constituency that affords incremental interpretation. In this work, we evaluate whether a more expressive CCG provides a better model than a CFG for human neural signals collected with functional magnetic resonance imaging (fMRI) while participants listen to an audiobook story. We further test between variants of CCG that differ in how they handle optional adjuncts. These evaluations are carried out against a baseline that includes estimates of next\u2010word predictability from a transformer neural network language model. Such a comparison reveals unique contributions of CCG structure\u2010building predominantly in the left posterior temporal lobe: CCG\u2010derived measures offer a superior fit to neural signals compared to those derived from a CFG. These effects are spatially distinct from bilateral superior temporal effects that are unique to predictability. Neural effects for structure\u2010building are thus separable from predictability during naturalistic listening, and those effects are best characterized by a grammar whose expressive power is motivated on independent linguistic grounds.<\/jats:p>","DOI":"10.1111\/cogs.13312","type":"journal-article","created":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T07:14:32Z","timestamp":1688714072000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Modeling Structure\u2010Building in the Brain With CCG Parsing and Large Language Models"],"prefix":"10.1111","volume":"47","author":[{"given":"Milo\u0161","family":"Stanojevi\u0107","sequence":"first","affiliation":[{"name":"Google DeepMind"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3639-350X","authenticated-orcid":false,"given":"Jonathan R.","family":"Brennan","sequence":"additional","affiliation":[{"name":"Department of Linguistics University of Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donald","family":"Dunagan","sequence":"additional","affiliation":[{"name":"Department of Linguistics University of Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Steedman","sequence":"additional","affiliation":[{"name":"School of Informatics University of Edinburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John T.","family":"Hale","sequence":"additional","affiliation":[{"name":"Google DeepMind"},{"name":"Department of Linguistics University of Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,7,7]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01067217"},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","unstructured":"Abraham A. Pedregosa F. Eickenberg M. Gervais P. Mueller A. Kossaifi J. Gramfort A. Thirion B. &Varoquaux G.(2014).Machine learning for neuroimaging with scikit\u2010learn.Frontiers in Neuroinformatics 8.","DOI":"10.3389\/fninf.2014.00014"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0277(88)90020-0"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1331-07.2007"},{"key":"e_1_2_9_6_1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780199204373.001.0001","volume-title":"Direct compositionality","author":"Barker C.","year":"2007"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5003-10.2011"},{"key":"e_1_2_9_8_1","doi-asserted-by":"crossref","unstructured":"Bergelson E. Soderstrom M. Schwarz I.\u2010C. Rowland C. Ramirez\u2010Esparza N. Hamrick L. Marklund E. Kalashnikova M. Guez A. Casillas M. Benetti L. vanAlphen P. &Cristia A.(2022).Everyday language input and production in 1001 children from 6 continents.https:\/\/doi.org\/10.31234\/osf.io\/fjr5q","DOI":"10.31234\/osf.io\/fjr5q"},{"key":"e_1_2_9_9_1","volume-title":"The grammatical basis of linguistic performance: Language use and acquisition","author":"Berwick R. C.","year":"1984"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/23273798.2018.1518533"},{"key":"e_1_2_9_11_1","unstructured":"Bies A. Ferguson M. Katz K. &MacIntyr R.(1995).Bracketing guidelines for Treebank II Style Penn Treebank Project.Technical Report MS\u2010CIS\u201095\u201006\u201007 University of Pennsylvania."},{"issue":"9","key":"e_1_2_9_12_1","first-page":"341","article-title":"Praat, a system for doing phonetics by computer","volume":"5","author":"Boersma P.","year":"2001","journal-title":"Glot International"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/lnc3.12198"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2020.107479"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0207741"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandl.2010.04.002"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/cogs.12445"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandl.2016.04.008"},{"key":"e_1_2_9_19_1","unstructured":"Brown T. B. Mann B. Ryder N. Subbiah M. Kaplan J. Dhariwal P. Neelakantan A. Shyam P. Sastry G. Askell A. Agarwal S. Herbert\u2010Voss A. Krueger G. Henighan T. Child R. Ramesh A. Ziegler D. M. Wu J. Winter C. Hesse C. Chen M. Sigler E. Litwin M. Gray S. Chess B. Clark J. Berner C. McCandlish S. Radford A. Sutskever I. &Amodei D.(2020).Language models are few\u2010shot learners.arXiv:2005.14165 [cs]."},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.3758\/BRM.41.4.977"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.32614\/RJ-2018-017"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1353\/lan.2006.0186"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-022-01516-2"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-022-03036-1"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1111\/cogs.12927"},{"key":"e_1_2_9_26_1","volume-title":"Lectures on government and binding","author":"Chomsky N.","year":"1981"},{"key":"e_1_2_9_27_1","doi-asserted-by":"crossref","unstructured":"deLange F. P. Schmitt L.\u2010M. &Heilbron M.(2022).Reconstructing the predictive architecture of the mind and brain.Trends in Cognitive Sciences 26(12) 1018\u20131019.","DOI":"10.1016\/j.tics.2022.08.007"},{"key":"e_1_2_9_28_1","doi-asserted-by":"crossref","unstructured":"Demers A. J.(1977).Generalized left corner parsing. InProceedings of the 4th ACM SIGACT\u2010SIGPLAN Symposium on Principles of Programming Languages POPL '77 (pp.170\u2013182).New York:Association for Computing Machinery.","DOI":"10.1145\/512950.512966"},{"key":"e_1_2_9_29_1","unstructured":"Devlin J. Chang M.\u2010W. Lee K. &Toutanova K.(2019).BERT: Pre\u2010training of deep bidirectional transformers for language understanding. InProceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Volume 1(Long and Short Papers)(pp.4171\u20134186).Minneapolis MN:Association for Computational Linguistics."},{"key":"e_1_2_9_30_1","doi-asserted-by":"crossref","unstructured":"Dyer C. Kuncoro A. Ballesteros M. &Smith N. A.(2016).Recurrent neural network grammars. InProceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies(pp.199\u2013209).San Diego CA:Association for Computational Linguistics.","DOI":"10.18653\/v1\/N16-1024"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00298"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1177\/0956797611409589"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandl.2014.10.006"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511597855.005"},{"key":"e_1_2_9_35_1","volume-title":"Construal","author":"Frazier L.","year":"1996"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1502134112"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature18933"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-022-01026-4"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.15398\/jlm.v5i1.157"},{"key":"e_1_2_9_40_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073336.1073357"},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0000_64"},{"key":"e_1_2_9_42_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1551-6709.2010.01145.x"},{"key":"e_1_2_9_43_1","doi-asserted-by":"publisher","DOI":"10.1093\/acrefore\/9780199384655.013.377"},{"key":"e_1_2_9_44_1","doi-asserted-by":"crossref","unstructured":"Hale J. Dyer C. Kuncoro A. &Brennan J.(2018).Finding syntax in human encephalography with beam search. InProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)(pp.2727\u20132736).Melbourne Australia:Association for Computational Linguistics.","DOI":"10.18653\/v1\/P18-1254"},{"key":"e_1_2_9_45_1","volume-title":"Automaton theories of human sentence comprehension","author":"Hale J. T.","year":"2014"},{"key":"e_1_2_9_46_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107323667.011"},{"key":"e_1_2_9_47_1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199252695.001.0001"},{"key":"e_1_2_9_48_1","volume-title":"A performance theory of order and constituency","author":"Hawkins J. A.","year":"1994"},{"key":"e_1_2_9_49_1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199664993.001.0001"},{"key":"e_1_2_9_50_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2201968119"},{"key":"e_1_2_9_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.02.050"},{"key":"e_1_2_9_52_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli.2007.33.3.355"},{"key":"e_1_2_9_53_1","unstructured":"Hoffmann J. Borgeaud S. Mensch A. Buchatskaya E. Cai T. Rutherford E. Casas D. d. L. Hendricks L. A. Welbl J. Clark A. Hennigan T. Noland E. Millican K. van denDriessche G. Damoc B. Guy A. Osindero S. Simonyan K. Elsen E. Rae J. W. Vinyals O. &Sifre L.(2022).Training compute\u2010optimal large language models.arXiv:2203.15556 [cs]."},{"key":"e_1_2_9_54_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20148"},{"key":"e_1_2_9_55_1","doi-asserted-by":"crossref","unstructured":"Hunter T. Stanojevi\u0107 M. &Stabler E.(2019).The active\u2010filler strategy in a move\u2010eager left\u2010corner Minimalist Grammar parser. InProceedings of the Workshop on Cognitive Modeling and Computational Linguistics(pp.\u00a01\u201310).Minneapolis MN:Association for Computational Linguistics.","DOI":"10.18653\/v1\/W19-2901"},{"key":"e_1_2_9_56_1","volume-title":"Mental models","author":"Johnson\u2010Laird P. N.","year":"1983"},{"key":"e_1_2_9_57_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511597855.007"},{"key":"e_1_2_9_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(72)90043-4"},{"key":"e_1_2_9_59_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0277(72)90028-5"},{"key":"e_1_2_9_60_1","doi-asserted-by":"crossref","unstructured":"Kitaev N. Cao S. &Klein D.(2019).Multilingual constituency parsing with self\u2010attention and pre\u2010training. InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics(pp.3499\u20133505).Florence Italy:Association for Computational Linguistics.","DOI":"10.18653\/v1\/P19-1340"},{"key":"e_1_2_9_61_1","doi-asserted-by":"crossref","unstructured":"Kudo T. &Richardson J.(2018).SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing. InProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations(pp.66\u201371).Brussels Belgium:Association for Computational Linguistics.","DOI":"10.18653\/v1\/D18-2012"},{"key":"e_1_2_9_62_1","doi-asserted-by":"crossref","unstructured":"Kumar S. Sumers T. R. Yamakoshi T. Goldstein A. Hasson U. Norman K. A. Griffiths T. L. Hawkins R. D. &Nastase S. A.(2022).Reconstructing the cascade of language processing in the brain using the internal computations of a transformer\u2010based language model.","DOI":"10.32470\/CCN.2022.1255-0"},{"key":"e_1_2_9_63_1","doi-asserted-by":"crossref","unstructured":"Kuncoro A. Ballesteros M. Kong L. Dyer C. Neubig G. &Smith N. A.(2016).What do recurrent neural network grammars learn about syntax?CoRR abs\/1611.05774.","DOI":"10.18653\/v1\/E17-1117"},{"key":"e_1_2_9_64_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.12.028"},{"key":"e_1_2_9_65_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2007.05.006"},{"key":"e_1_2_9_66_1","volume-title":"An architecturally\u2010based theory of human sentence comprehension","author":"Lewis R. L.","year":"1993"},{"key":"e_1_2_9_67_1","doi-asserted-by":"crossref","unstructured":"Li J. Bhattasali S. Zhang S. Franzluebbers B. Luh W.\u2010M. Spreng R. N. Brennan J. R. Yang Y. Pallier C. &Hale J.(2022).Le Petit Prince multilingual naturalistic fMRI corpus.Scientific Data 9(1) Article 1.https:\/\/doi.org\/10.1038\/s41597\u2010022\u201001625\u20107","DOI":"10.1038\/s41597-022-01625-7"},{"key":"e_1_2_9_68_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2317-20.2021"},{"key":"e_1_2_9_69_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-linguistics-032020-051035"},{"key":"e_1_2_9_70_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177794"},{"key":"e_1_2_9_71_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1907367117"},{"key":"e_1_2_9_72_1","first-page":"313","article-title":"Building a large annotated corpus of English: The Penn Treebank","volume":"19","author":"Marcus M. P.","year":"1993","journal-title":"Computational Linguistics"},{"key":"e_1_2_9_73_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.189.4198.226"},{"key":"e_1_2_9_74_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24403"},{"key":"e_1_2_9_75_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhz180"},{"key":"e_1_2_9_76_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandl.2014.09.001"},{"key":"e_1_2_9_77_1","unstructured":"Miller G. &Chomsky N.(1963).Finitary models of language users.Handbook of Mathematical Psychology."},{"key":"e_1_2_9_78_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1575-21.2022"},{"key":"e_1_2_9_79_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1701590114"},{"key":"e_1_2_9_80_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1018711108"},{"key":"e_1_2_9_81_1","doi-asserted-by":"crossref","unstructured":"Peters M. E. Neumann M. Iyyer M. Gardner M. Clark C. Lee K. &Zettlemoyer L.(2018).Deep contextualized word representations. InProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Volume 1 (Long Papers)(pp.\u00a02227\u20132237).New Orleans LA:Association for Computational Linguistics.","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_2_9_82_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aax0050"},{"key":"e_1_2_9_83_1","unstructured":"Rae J. W. Borgeaud S. Cai T. Millican K. Hoffmann J. Song F. Aslanides J. Henderson S. Ring R. Young S. Rutherford E. Hennigan T. Menick J. Cassirer A. Powell R. van denDriessche G. Hendricks L. A. Rauh M. Huang P.\u2010S. Glaese A. Welbl J. Dathathri S. Huang S. Uesato J. Mellor J. Higgins I. Creswell A. McAleese N. Wu A. Elsen E. Jayakumar S. Buchatskaya E. Budden D. Sutherland E. Simonyan K. Paganini M. Sifre L. Martens L. Li X. L. Kuncoro A. Nematzadeh A. Gribovskaya E. Donato D. Lazaridou A. Mensch A. Lespiau J.\u2010B. Tsimpoukelli M. Grigorev N. Fritz D. Sottiaux T. Pajarskas M. Pohlen T. Gong Z. Toyama D. d'Autume C. d. M. Li Y. Terzi T. Mikulik V. Babuschkin I. Clark A. Casas D. d. L. Guy A. Jones C. Bradbury J. Johnson M. Hechtman B. Weidinger L. Gabriel I. Isaac W. Lockhart E. Osindero S. Rimell L. Dyer C. Vinyals O. Ayoub K. Stanway J. Bennett L. Hassabis D. Kavukcuoglu K. &Irving G.(2021).Scaling language models: Methods analysis & insights from training Gopher.https:\/\/doi.org\/10.48550\/arXiv.2202.07035"},{"key":"e_1_2_9_84_1","first-page":"9843","volume-title":"Advances in Neural Information Processing Systems","author":"Reddy A. J.","year":"2021"},{"key":"e_1_2_9_85_1","doi-asserted-by":"crossref","unstructured":"Resnik P.(1992).Left\u2010corner parsing and psychological plausibility. InCOLING 1992 Volume 1: The 14th International Conference on Computational Linguistics.","DOI":"10.3115\/992066.992098"},{"key":"e_1_2_9_86_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781444395037.ch10"},{"key":"e_1_2_9_87_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2105646118"},{"key":"e_1_2_9_88_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2019.107307"},{"key":"e_1_2_9_89_1","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0052152"},{"key":"e_1_2_9_90_1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199677139.003.0018"},{"key":"e_1_2_9_91_1","unstructured":"Stan Development Team. (2022).Stan modeling language users guide and reference manual.Technical report."},{"key":"e_1_2_9_92_1","unstructured":"Stanojevi\u0107 M. Hale J. &Steedman M.(2020).Predictive processing of coordination in CCG. InProceedings of the 33rd Annual CUNY Conference on Human Sentence Processing.Amherst MA:University of Massachusetts."},{"key":"e_1_2_9_93_1","doi-asserted-by":"crossref","unstructured":"Stanojevi\u0107 M. &Stabler E.(2018).A sound and complete left\u2010corner parsing for minimalist grammars. InProceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing(pp.65\u201374).Association for Computational Linguistics.","DOI":"10.18653\/v1\/W18-2809"},{"key":"e_1_2_9_94_1","unstructured":"Stanojevi\u0107 M. &Steedman M.(2019).CCG parsing algorithm with incremental Tree rotation. InProceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Volume 1 (Long and Short Papers)(pp.228\u2013239).Minneapolis MN:Association for Computational Linguistics."},{"key":"e_1_2_9_95_1","doi-asserted-by":"crossref","unstructured":"Stanojevi\u0107 M. &Steedman M.(2020).Max\u2010margin incremental CCG parsing. InProceedings of the 58th Annual Meeting of the Association for Computational Linguistics(pp.4111\u20134122).Association for Computational Linguistics.","DOI":"10.18653\/v1\/2020.acl-main.378"},{"key":"e_1_2_9_96_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00394"},{"key":"e_1_2_9_97_1","unstructured":"Steedman M.(1996).A very short introduction to CCG.Unpublished paper."},{"key":"e_1_2_9_98_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/6591.001.0001","volume-title":"The syntactic process","author":"Steedman M.","year":"2000"},{"key":"e_1_2_9_99_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0000_8"},{"key":"e_1_2_9_100_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.7777863"},{"key":"e_1_2_9_101_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2014.08.001"},{"key":"e_1_2_9_102_1","unstructured":"Vaswani A. Shazeer N. Parmar N. Uszkoreit J. Jones L. Gomez A. N. Kaiser L. &Polosukhin I.(2017).Attention is all you need.https:\/\/doi.org\/10.48550\/arXiv.1706.03762"},{"key":"e_1_2_9_103_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-016-9696-4"},{"key":"e_1_2_9_104_1","doi-asserted-by":"crossref","unstructured":"Voita E. Talbot D. Moiseev F. Sennrich R. &Titov I.(2019).Analyzing multi\u2010head self\u2010attention: Specialized heads do the heavy lifting the rest can be pruned. InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics(pp.5797\u20135808).Florence Italy:Association for Computational Linguistics.","DOI":"10.18653\/v1\/P19-1580"},{"key":"e_1_2_9_105_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0112575"},{"key":"e_1_2_9_106_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhv075"},{"key":"e_1_2_9_107_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.09.014"},{"key":"e_1_2_9_108_1","doi-asserted-by":"crossref","unstructured":"Yu L. &Ettinger A.(2020).Assessing phrasal representation and composition in transformers. InProceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)(pp.4896\u20134907).Association for Computational Linguistics.","DOI":"10.18653\/v1\/2020.emnlp-main.397"},{"issue":"1","key":"e_1_2_9_109_1","first-page":"411","article-title":"Building by syntax: The neural basis of minimal linguistic structures","volume":"27","author":"Zaccarella E.","year":"2017","journal-title":"Cerebral Cortex"},{"key":"e_1_2_9_110_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2017.06.011"}],"container-title":["Cognitive Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cogs.13312","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cogs.13312","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T16:15:39Z","timestamp":1729700139000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/cogs.13312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":109,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["10.1111\/cogs.13312"],"URL":"https:\/\/doi.org\/10.1111\/cogs.13312","archive":["Portico"],"relation":{},"ISSN":["0364-0213","1551-6709"],"issn-type":[{"value":"0364-0213","type":"print"},{"value":"1551-6709","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7]]},"assertion":[{"value":"2022-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-17","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e13312"}}