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  2020 (3)
Prediction in the language network is sensitive to syntactic structure. Shain, C.; Blank, I.; van Schijndel, M.; Schuler, W.; and Fedorenko, E. In CUNY 2020, 2020.
Prediction in the language network is sensitive to syntactic structure [pdf] abstract   Prediction in the language network is sensitive to syntactic structure [link] slides   link   bibtex  
Controlling for human response latency with continuous-time deconvolutional regression. Shain, C.; and Schuler, W. In CUNY 2020, 2020.
Controlling for human response latency with continuous-time deconvolutional regression [pdf] abstract   Controlling for human response latency with continuous-time deconvolutional regression [link] poster   link   bibtex  
Coreference information guides human expectations during naturalistic reading. Jaffe, E.; Shain, C.; and Schuler, W. In CUNY 2020, 2020.
Coreference information guides human expectations during naturalistic reading [pdf] abstract   Coreference information guides human expectations during naturalistic reading [link] poster   link   bibtex  
  2019 (7)
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension. Shain, C.; Blank, I.; van Schijndel, M.; Fedorenko, E.; and Schuler, W. Neuropsychologia. 2019.
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension [link] paper   link   bibtex  
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders. Shain, C.; and Elsner, M. In NAACL 2019, 2019.
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders [link] paper   Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders [pdf] slides   link   bibtex   14 downloads  
A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading. Shain, C. In NAACL 2019, 2019.
A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading [link] paper   A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading [pdf] slides   link   bibtex  
Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?. Elsner, M.; Sims, A. D.; Erdmann, A.; Hernandex, A.; Jaffe, E.; Jin, L.; Johnson, M. B.; Karim, S.; King, D. L.; Lamberti Nunes, L.; Oh, B.; Rasmussen, N.; Shain, C.; Antetomaso, S.; Dickinson, K. V.; Diewald, N.; McKenzie, M.; and Stevens-Guille, S. Journal of Language Modeling, 7(1). 2019.
Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute? [link] paper   link   bibtex  
A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading. Shain, C. In CUNY 2019, 2019.
A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading [pdf] abstract   A large-scale deconvolutional study of predictability and frequency effects in naturalistic reading [pdf] poster   link   bibtex  
Computer modeling suggests patterns of perceptual availability of phonological structure during infant language acquisition. Shain, C.; and Elsner, M. In CUNY 2019, 2019.
Computer modeling suggests patterns of perceptual availability of phonological structure during infant language acquisition [pdf] abstract   Computer modeling suggests patterns of perceptual availability of phonological structure during infant language acquisition [pdf] poster   link   bibtex  
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension. Shain, C.; Blank, I.; van Schijndel, M.; Schuler, W.; and Fedorenko, E. In CUNY 2019, 2019.
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension [pdf] abstract   fMRI reveals language-specific predictive coding during naturalistic sentence comprehension [pdf] poster   link   bibtex  
  2018 (6)
Deconvolutional time series regression: A technique for modeling temporally diffuse effects. Shain, C.; and Schuler, W. In EMNLP 2018, 2018.
Deconvolutional time series regression: A technique for modeling temporally diffuse effects [link] paper   Deconvolutional time series regression: A technique for modeling temporally diffuse effects [pdf] poster   link   bibtex   7 downloads  
Deep syntactic annotations for broad-coverage psycholinguistic modeling. Shain, C.; van Schijndel , M.; and Schuler, W. In Workshop on Linguistic and Neuro-Cognitive Resources (LREC 2018), 2018.
Deep syntactic annotations for broad-coverage psycholinguistic modeling [pdf] paper   link   bibtex   1 download  
Coreference and focus in broad-coverage stimuli. Jaffe, E.; Shain, C.; and Schuler, W. In CUNY 2018, 2018.
link   bibtex  
Modeling psycholinguistic effect timecourses with deconvolutional time series regression. Shain, C.; and Schuler, W. In CUNY 2018, 2018.
Modeling psycholinguistic effect timecourses with deconvolutional time series regression [pdf] abstract   Modeling psycholinguistic effect timecourses with deconvolutional time series regression [pdf] poster   link   bibtex  
Evidence of semantic processing difficulty in naturalistic reading. Shain, C.; Futrell, R.; van Schijndel , M.; Gibson, E.; Schuler, W.; and Fedorenko, E. In CUNY 2018, 2018.
Evidence of semantic processing difficulty in naturalistic reading [pdf] abstract   Evidence of semantic processing difficulty in naturalistic reading [pdf] poster   link   bibtex  
Coreference and Focus in Reading Times. Jaffe, E.; Shain, C.; and Schuler, W. In CMCL 2018, 2018.
Coreference and Focus in Reading Times [pdf] paper   link   bibtex  
  2017 (5)
Speech segmentation with a neural encoder model of working memory. Elsner, M.; and Shain, C. In EMNLP 2017, 2017.
Speech segmentation with a neural encoder model of working memory [pdf] paper   Speech segmentation with a neural encoder model of working memory [link] code   link   bibtex   3 downloads  
Breaking NLP: Using morphosyntax, semantics, pragmatics and world knowledge to fool sentiment analysis systems. Mahler, T.; Cheung, W.; Elsner, M.; King, D.; de Marneffe , M.; Shain, C.; Stevens-Guille, S.; and White, M. In Workshop on Building Linguistically Generalizable NLP Systems (EMNLP 2017), 2017.
Breaking NLP: Using morphosyntax, semantics, pragmatics and world knowledge to fool sentiment analysis systems [link] paper   link   bibtex   1 download  
Word segmentation with neural net working memory. Elsner, M.; and Shain, C. In Midwest Speech and Language Days 2017, Chicago, 2017.
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Retrieving structures from memory causes difficulty during incremental processing. Shain, C.; van Schijndel , M.; Futrell, R.; Gibson, E.; and Schuler, W. In CUNY 2017, Cambridge, 2017. (10% oral accept rate)
Retrieving structures from memory causes difficulty during incremental processing [pdf] abstract   Retrieving structures from memory causes difficulty during incremental processing [pdf] poster   link   bibtex  
Modeling syntax acquisition via cognitively-constrained unsupervised grammar induction. Shain, C.; Bryce, W.; Jin, L.; Krakovna, V.; Doshi-Velez, F.; Miller, T.; Schuler, W.; and Schwartz, L. In CUNY 2017, Cambridge, 2017.
Modeling syntax acquisition via cognitively-constrained unsupervised grammar induction [pdf] abstract   Modeling syntax acquisition via cognitively-constrained unsupervised grammar induction [pdf] poster   link   bibtex  
  2016 (3)
Memory-bounded left-corner unsupervised grammar induction on child-directed input. Shain, C.; Bryce, W.; Jin, L.; Krakovna, V.; Doshi-Velez, F.; Miller, T.; Schuler, W.; and Schwartz, L. In Proceedings of COLING 2016, Osaka, 2016.
Memory-bounded left-corner unsupervised grammar induction on child-directed input [link] paper   Memory-bounded left-corner unsupervised grammar induction on child-directed input [link] code   link   bibtex   2 downloads  
Memory access during incremental sentence processing causes reading time latency. Shain, C.; van Schijndel , M.; Futrell, R.; Gibson, E.; and Schuler, W. In COLING 2016: Workshop on Computational Linguistics for Linguistic Complexity, Osaka, 2016. (24% oral accept rate)
Memory access during incremental sentence processing causes reading time latency [pdf] paper   Memory access during incremental sentence processing causes reading time latency [link] code   link   bibtex   5 downloads  
Exploring memory and processing through a gold-standard annotation of Dundee. Shain, C.; van Schijndel, Marten; Gibson, E.; and Schuler, W. In CUNY 2016, Gainesville, 2016.
Exploring memory and processing through a gold-standard annotation of Dundee [pdf] abstract   Exploring memory and processing through a gold-standard annotation of Dundee [pdf] poster   link   bibtex  
  2010 (1)
The synchrony and diachrony of differential object marking in Paraguayan Guaraní. Shain, C.; and Tonhauser, J. Language Variation and Change, 22(03): 321–346. 2010.
The synchrony and diachrony of differential object marking in Paraguayan Guaraní [link] paper   link   bibtex  
  under review (1)
Continuous-Time Deconvolutional Regression for Psycholinguistic Modeling. Shain, C.; and Schuler, W. . under review.
Continuous-Time Deconvolutional Regression for Psycholinguistic Modeling [link] preprint   link   bibtex