1st Edition
Algebraic Structures in Natural Language
1. On the Proper Role of Linguistically Oriented Deep Net Analysis in Linguistic Theorizing
by Marco Baroni.
2. What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by Alex Warstadt and Samuel R. Bowman.
3. Grammar through Spontaneous Order
by Nick Chater and Morten H. Christiansen.
4. Language is Acquired in Interaction
by Eve V. Clark.
5. Why Algebraic Systems aren’t Sufficient for Syntax
by Ben Ambridge.
6. Learning Syntactic Structures from String Input
by Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, and Roger Levy.
7. Analyzing Discourse Knowledge in Pre-Trained LMs
by Sharid Lo´aiciga.
8. Linguistically Guided Multilingual NLP
by Olga Majewska, Ivan Vuli´c, and Anna Korhonen.
9. Word Embeddings are Word Story Embeddings (and that’s fine)
by Katrin Erk and Gabriella Chronis.
10. Algebra and Language: Reasons for (Dis)content
by Lawrence S. Moss.
11. Unitary Recurrent Networks
by Jean-Philippe Bernardy and Shalom Lappin.
Biography
Shalom Lappin is a Professor of Computational Linguistics at the University of Gothenburg, Professor of Natural Language Processing at Queen Mary University of London and Emeritus Professor of Computational Linguistics at King’s College London. His research focuses on the application of machine learning and probabilistic models to the representation and the acquisition of linguistic knowledge.
Jean-Philippe Bernardy is a researcher at the University of Gothenburg. His main research interest is in interpretable linguistic models, in particular, those built from first principles of algebra, probability and geometry.
“Lappin and Bernardy have assembled a great set of researchers who work on linguistic, cognitive science and natural language processing in deep neural network approaches to language. The result is a state of the art collection of interest to anyone with interests in DNNs and their connection to human language.” --Edward A. F. Gibson, Professor, MIT Department of Brain & Cognitive Sciences
