Skip to Main Content

Advertisement

MIT Press Direct, home Open Menu
header search
Search
Advanced Search
Skip Nav Destination

Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks

Transactions of the Association for Computational Linguistics (2020) 8: 125–140.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
Investigating Critical Period Effects in Language Acquisition through Neural Language Models
  • Ionut Constantinescu
  • Tiago Pimentel
  • Ryan Cotterell
  • Alex Warstadt
Transactions of the Association for Computational Linguistics (2025) 13: 96.
Explainable Meta-Path Based Recommender Systems
  • Thanet Markchom
  • Huizhi Liang
  • James Ferryman
ACM Transactions on Recommender Systems (2025) 3 (2): 1.
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers
  • Kabir Ahuja
  • Vidhisha Balachandran
  • Madhur Panwar
  • Tianxing He
  • Noah A. Smith
  • Navin Goyal
  • Yulia Tsvetkov
Transactions of the Association for Computational Linguistics (2025) 13: 121.
Dissociating language and thought in large language models
  • Kyle Mahowald
  • Anna A. Ivanova
  • Idan A. Blank
  • Nancy Kanwisher
  • Joshua B. Tenenbaum
  • Evelina Fedorenko
Trends in Cognitive Sciences (2024) 28 (6): 517.
Linguistics-based formalization of the antibody language as a basis for antibody language models
  • Mai Ha Vu
  • Philippe A. Robert
  • Rahmad Akbar
  • Bartlomiej Swiatczak
  • Geir Kjetil Sandve
  • Dag Trygve Truslew Haug
  • Victor Greiff
Nature Computational Science (2024) 4 (6): 412.
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
  • Bonan Min
  • Hayley Ross
  • Elior Sulem
  • Amir Pouran Ben Veyseh
  • Thien Huu Nguyen
  • Oscar Sainz
  • Eneko Agirre
  • Ilana Heintz
  • Dan Roth
ACM Computing Surveys (2024) 56 (2): 1.
Self-attention with temporal prior: can we learn more from the arrow of time?
  • Kyung Geun Kim
  • Byeong Tak Lee
Frontiers in Artificial Intelligence (2024) 7
Neural Networks as Cognitive Models of the Processing of Syntactic Constraints
  • Suhas Arehalli
  • Tal Linzen
Open Mind (2024) 8: 558.
Gender classification of Korean personal names: Deep neural networks versus human judgments
  • Hyesun Cho
Lingua (2024) 303: 103703.
Linguistically inspired roadmap for building biologically reliable protein language models
  • Mai Ha Vu
  • Rahmad Akbar
  • Philippe A. Robert
  • Bartlomiej Swiatczak
  • Geir Kjetil Sandve
  • Victor Greiff
  • Dag Trygve Truslew Haug
Nature Machine Intelligence (2023) 5 (5): 485.
The ambiguity of BERTology: what do large language models represent?
  • Tommi Buder-Gröndahl
Synthese (2023) 203 (1)
Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning
  • Philip A. Huebner
  • Jon A. Willits
Machine Learning with Applications (2023) 13: 100478.
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN
  • R. Thomas McCoy
  • Paul Smolensky
  • Tal Linzen
  • Jianfeng Gao
  • Asli Celikyilmaz
Transactions of the Association for Computational Linguistics (2023) 11: 652.
Can Recurrent Neural Networks Validate Usage-Based Theories of Grammar Acquisition?
  • Ludovica Pannitto
  • Aurelie Herbelot
Frontiers in Psychology (2022) 13
A Computational Neural Network Model for College English Grammar Correction
  • Xingjie Wu
  • Ning Cao
Computational Intelligence and Neuroscience (2022) 2022: 1.
Modelling Maltese noun plural classes without morphemes
  • Jessica Nieder
  • Fabian Tomaschek
  • Enum Cohrs
  • Ruben van de Vijver
Language, Cognition and Neuroscience (2022) 37 (3): 381.
Hierarchy in language interpretation: evidence from behavioural experiments and computational modelling
  • Cas W. Coopmans
  • Helen de Hoop
  • Karthikeya Kaushik
  • Peter Hagoort
  • Andrea E. Martin
Language, Cognition and Neuroscience (2022) 37 (4): 420.
BERT syntactic transfer: A computational experiment on Italian, French and English languages
  • Raffaele Guarasci
  • Stefano Silvestri
  • Giuseppe De Pietro
  • Hamido Fujita
  • Massimo Esposito
Computer Speech & Language (2022) 71: 101261.
Syntactic Structure from Deep Learning
  • Tal Linzen
  • Marco Baroni
Annual Review of Linguistics (2021) 7 (1): 195.
Tracking Child Language Development With Neural Network Language Models
  • Kenji Sagae
Frontiers in Psychology (2021) 12
Discrete and continuous representations and processing in deep learning: Looking forward
  • Ruben Cartuyvels
  • Graham Spinks
  • Marie-Francine Moens
AI Open (2021) 2: 143.

Advertisement

  • Online ISSN 2307-387X
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2025 The MIT Press
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept