Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules? - Raquel G. Alhama; Willem H. Zuidema (CoCo@NIPS, 2016)

Segmentation as Retention and Recognition: the R&R model. - Raquel G. Alhama; Willem H. Zuidema (CogSci, 2017)

Neural Discontinuous Constituency Parsing. - Milos Stanojevic; Raquel G. Alhama (EMNLP, 2017)

The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account. - Raquel G. Alhama; Noam Siegelman; Ram Frost; Blair C. Armstrong (CogSci, 2019)

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. - Willem H. Zuidema; Robert M. French; Raquel G. Alhama; Kevin Ellis; Timothy J. O'Donnell; Tim Sainburg; Timothy Gentner (Top. Cogn. Sci., 2020)

Retrodiction as Delayed Recurrence: the Case of Adjectives in Italian and English. - Raquel G. Alhama; Francesca Zermiani; Atiqah Khaliq (ALTA, 2021)

Word Segmentation as Unsupervised Constituency Parsing. - Raquel G. Alhama (ACL (1), 2022)

When the "Tabula" is Anything but "Rasa: " What Determines Performance in the Auditory Statistical Learning Task? - Amit Elazar; Raquel G. Alhama; Louisa Bogaerts; Noam Siegelman; Cristina Baus; Ram Frost (Cogn. Sci., 2022)

Linguistic Productivity: the Case of Determiners in English. - Raquel G. Alhama; Ruthe Foushee; Daniel Byrne; Allyson Ettinger; Susan Goldin-Meadow; Afra Alishahi (IJCNLP (1), 2023)

The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations. - Daniel Akkerman; Phong Le; Raquel G. Alhama (EMNLP, 2024)