William Merrill
Cited by
Cited by
CORD-19: The COVID-19 open research dataset
LL Wang, K Lo, Y Chandrasekhar, R Reas, J Yang, D Eide, K Funk, ...
Workshop on NLP for COVID-19, 2020
Sequential neural networks as automata
W Merrill
Deep Learning and Formal Languages (ACL workshop), 2019
A formal hierarchy of RNN architectures
W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav
Association of Computational Linguistics, 2020
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?
W Merrill, Y Goldberg, R Schwartz, NA Smith
Transactions of the Association for Computational Linguistics 9, 1047-1060, 2021
Context-free transductions with neural stacks
Y Hao, W Merrill, D Angluin, R Frank, N Amsel, A Benz, S Mendelsohn
BlackboxNLP, 2018
Competency problems: On finding and removing artifacts in language data
M Gardner, W Merrill, J Dodge, ME Peters, A Ross, S Singh, N Smith
Empirical Methods in Natural Language Processing, 2021
End-to-end graph-based TAG parsing with neural networks
J Kasai, R Frank, P Xu, W Merrill, O Rambow
NAACL, 2018
Effects of parameter norm growth during transformer training: Inductive bias from gradient descent
W Merrill, V Ramanujan, Y Goldberg, R Schwartz, N Smith
Empirical Methods in Natural Language Processing, 2021
Finding hierarchical structure in neural stacks using unsupervised parsing
W Merrill, L Khazan, N Amsel, Y Hao, S Mendelsohn, R Frank
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019
Formal language theory meets modern NLP
W Merrill
arXiv preprint arXiv:2102.10094, 2021
Saturated transformers are constant-depth threshold circuits
W Merrill, A Sabharwal, NA Smith
Transactions of the Association for Computational Linguistics 10, 843-856, 2022
On the linguistic capacity of real-time counter automata
W Merrill
arXiv preprint arXiv:2004.06866, 2020
Detecting syntactic change using a neural part-of-speech tagger
W Merrill, GF Stark, R Frank
Proceedings of the 1st International Workshop on Computational Approaches to …, 2019
Log-Precision Transformers are Constant-Depth Uniform Threshold Circuits
W Merrill, A Sabharwal
arXiv preprint arXiv:2207.00729, 2022
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
S Subramanian, W Merrill, T Darrell, M Gardner, S Singh, A Rohrbach
Empirical Methods in Natural Language Processing, 2022
Extracting Finite Automata from RNNs Using State Merging
W Merrill, N Tsilivis
arXiv preprint arXiv:2201.12451, 2022
Capsule Networks for NLP
W Merrill
Grammatical Accents: Using Machine Learning to Quantify Language Transfer
T Eisape, W Merrill, S Dietz, JK Hartshorne
Voynich2Vec: Using FastText Word Embeddings for Voynich Decipherment
W Merrill, E Baum
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Articles 1–19