Presentations and Posters
Portelance, E., M. C. Frank, D. Jurafsky, A. Sordoni, R. Laroche. (2021). The Emergence of the Shape Bias Results from Communicative Efficiency. Presentation at the 25th Conference on Computational Natural Language Learning (CoNLL), Punta Cana, Dominican Republic.
Portelance, E. (2021). Learning Strategies for the Emergence of Language in Iterated Learning. Presentation at the Montreal Computational & Quantitative Linguistics Lab (MCQLL), McGill University.
Portelance, E., J. Degen, M.C. Frank. (2020). Predicting Age of Acquisition in Early Word Learning Using Recurrent Neural Networks. Presentation at CogSci 2020, Virtual.
Portelance, E., J. Degen, M.C. Frank. (2020). Using neural network language models to predict age of acquisition for early vocabulary. Presentation at the International Conference for Infant Studies, Virtual.
Portelance, E., G. Kachergis, M.C. Frank. (2019). Comparing memory-based and neural network models of early syntactic development. Poster presentation at the BUCLD, Boston, MA.
Portelance, E. (2019). Verb stranding ellipsis in Lithuanian: verbal identity and head movement. Presentation at the Syntax & Semantics circle, UC Berkeley.
Portelance, E., A. Bruno, D. Harasim, L. Bergen, T. J. O’Donnell. (2018). A Framework for Lexicalized Grammar Induction Using Variational Bayesian Inference. Poster presentation at the Learning Language in Humans and Machines conference, Paris, France.
Portelance, E. (2018). On the move: Free word order in Lithuanian. Presentation at the Association for the Advancement of Baltic Studies Conference, Stanford, USA.
Portelance, E., A. Bruno, and T. J. O’Donnell. (2017). Unsupervised induction of natural language dependency structures. Poster presentation at the Montreal AI Symposium, Montreal, Canada.
Portelance, E. and A. Piper. (2017). Understanding Narrative: Computational approaches to detecting narrative frames. In proceedings of Digital Humanities Conference 2017 , Montreal, Canada.