Raquel G. Alhama

According to our database, Raquel G. Alhama authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations.

Daniel Akkerman, Phong Le, Raquel G. Alhama

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Linguistic Productivity: the Case of Determiners in English.

Raquel G. Alhama, Ruthe Foushee, Daniel Byrne, Allyson Ettinger, Susan Goldin-Meadow, Afra Alishahi

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

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

Word Segmentation as Unsupervised Constituency Parsing.

Raquel G. Alhama

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

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

2019

The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account.

Raquel G. Alhama, Noam Siegelman, Ram Frost, Blair C. Armstrong

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules?

Raquel G. Alhama, Willem H. Zuidema

J. Artif. Intell. Res., 2018

2017

Neural Discontinuous Constituency Parsing.

Milos Stanojevic, Raquel G. Alhama

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Segmentation as Retention and Recognition: the R&R model.

Raquel G. Alhama, Willem H. Zuidema

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017