Raquel G. Alhama

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Dependency Trees

Word Recognition

Statistical Learning

Top Venues

Publications

Raquel G. Alhama, Ruthe Foushee, Daniel Byrne, Allyson Ettinger, Susan Goldin-Meadow, Afra Alishahi
Linguistic Productivity: the Case of Determiners in English. IJCNLP (1) (2023)
Raquel G. Alhama
Word Segmentation as Unsupervised Constituency Parsing. ACL (1) (2022)
Amit Elazar, Raquel G. Alhama, Louisa Bogaerts, Noam Siegelman, Cristina Baus, Ram Frost
When the "Tabula" is Anything but "Rasa: " What Determines Performance in the Auditory Statistical Learning Task? Cogn. Sci. 46 (2) (2022)
Willem H. Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg, Timothy Gentner
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Top. Cogn. Sci. 12 (3) (2020)
Raquel G. Alhama, Noam Siegelman, Ram Frost, Blair C. Armstrong
The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account. CogSci (2019)
Raquel G. Alhama, Willem H. Zuidema
Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules? J. Artif. Intell. Res. 61 (2018)
Milos Stanojevic, Raquel G. Alhama
Neural Discontinuous Constituency Parsing. EMNLP (2017)
Raquel G. Alhama, Willem H. Zuidema
Segmentation as Retention and Recognition: the R&R model. CogSci (2017)
Raquel G. Alhama, Willem H. Zuidema
Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules? CoCo@NIPS (2016)