Licensing and Tree Adjoining Grammar in Government Binding Parsing. - Robert Frank 001 (ACL, 1990)

Nominal Structures and Structural Recursion. - Robert Frank 001; Anthony Kroch (Comput. Intell., 1994)

From Regular to Context Free to Mildly Context Sensitive Tree Rewriting Systems: The Path of Child Language Acquisition. - Robert Frank 001 (CoRR, 1994)

TAG derivation as monotonic C-command. - Robert Frank 001; K. Vijay-Shanker (TAG+, 1998)

Optimality Theory and the Generative Complexity of Constraint Violability. - Robert Frank 001; Giorgio Satta (Comput. Linguistics, 1998)

Economy in TAG. - Robert Frank 001 (TAG+, 2000)

Monotonic C-Command: A New Perspective on Tree Adjoining Grammar. - Robert Frank 001; Seth Kulick; K. Vijay-Shanker (Grammars, 2000)

Tree-adjoining Grammars for Optimality Theory Syntax. - Virginia Savova; Robert Frank 001 (TAG+, 2004)

Restricting grammatical complexity. - Robert Frank 001 (Cogn. Sci., 2004)

Reflexives and TAG Semantics. - Robert Frank 001 (TAG, 2008)

What lies beneath: Semantic and syntactic analysis of manually reconstructed spontaneous speech. - Erin Fitzgerald; Frederick Jelinek; Robert Frank 001 (ACL/IJCNLP, 2009)

Restricting Inverse Scope in STAG. - Michael Freedman; Robert Frank 001 (TAG, 2010)

The Shape of Elementary Trees and Scope Possibilities in STAG. - Robert Frank 001; Dennis Ryan Storoshenko (TAG, 2012)

Deriving syntax-semantics mappings: node linking, type shifting and scope ambiguity. - Dennis Ryan Storoshenko; Robert Frank 001 (TAG, 2012)

Processing of nested and cross-serial dependencies: an automaton perspective on SRN behaviour. - Christo Kirov; Robert Frank 001 (Connect. Sci., 2012)

Effect of Naming on Haptic Memory in Children and Adults. - Trevor Cessna; Shealan McAlister; Heidi Kloos; Robert Frank 001 (CogSci, 2014)

Parasitic Gaps and the Heterogeneity of Dependency Formation in STAG. - Dennis Ryan Storoshenko; Robert Frank 001 (TAG, 2016)

TAG Parsing with Neural Networks and Vector Representations of Supertags. - Jungo Kasai; Bob Frank; R. Thomas McCoy; Owen Rambow; Alexis Nasr (EMNLP, 2017)

Linguistically Rich Vector Representations of Supertags for TAG Parsing. - Dan Friedman; Jungo Kasai; R. Thomas McCoy; Robert Frank 001; Forrest Davis; Owen Rambow (TAG, 2017)

TAG Parser Evaluation using Textual Entailments. - Pauli Xu; Robert Frank 001; Jungo Kasai; Owen Rambow (TAG, 2017)

Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. - Richard Thomas McCoy; Robert Frank 001; Tal Linzen (CogSci, 2018)

Context-Free Transductions with Neural Stacks. - Yiding Hao; William Merrill; Dana Angluin; Robert Frank 001; Noah Amsel; Andrew Benz; Simon Mendelsohn (BlackboxNLP@EMNLP, 2018)

End-to-End Graph-Based TAG Parsing with Neural Networks. - Jungo Kasai; Robert Frank 001; Pauli Xu; William Merrill; Owen Rambow (NAACL-HLT, 2018)

Detecting Syntactic Change Using a Neural Part-of-Speech Tagger. - William Merrill; Gigi Felice Stark; Robert Frank 001 (LChange@ACL, 2019)

Open Sesame: Getting inside BERT's Linguistic Knowledge. - Yongjie Lin; Yi Chern Tan; Robert Frank 001 (BlackboxNLP@ACL, 2019)

Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing. - William Merrill; Lenny Khazan; Noah Amsel; Yiding Hao; Simon Mendelsohn; Robert Frank 001 (BlackboxNLP@ACL, 2019)

Syntax-aware Neural Semantic Role Labeling with Supertags. - Jungo Kasai; Dan Friedman; Robert Frank 001; Dragomir R. Radev; Owen Rambow (NAACL-HLT (1), 2019)

Finding Syntactic Representations in Neural Stacks. - William Merrill; Lenny Khazan; Noah Amsel; Yiding Hao; Simon Mendelsohn; Robert Frank 001 (CoRR, 2019)

Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling. - Yiding Hao; Simon Mendelsohn; Rachel Sterneck; Randi Martinez; Robert Frank 001 (CoRR, 2020)

Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora. - Robert Frank 001; Jackson Petty (CoRR, 2020)

Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. - R. Thomas McCoy; Robert Frank 001; Tal Linzen (Trans. Assoc. Comput. Linguistics, 2020)

Transformers Generalize Linearly. - Jackson Petty; Robert Frank 001 (CoRR, 2021)

Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. - Aaron Mueller; Robert Frank 001; Tal Linzen; Luheng Wang; Sebastian Schuster (ACL (Findings), 2022)

Do Language Models Learn Position-Role Mappings? - Jackson Petty; Michael Wilson; Robert Frank 001 (CoRR, 2022)

Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity. - Yiding Hao; Dana Angluin; Robert Frank 001 (Trans. Assoc. Comput. Linguistics, 2022)

How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. - Aditya Yedetore; Tal Linzen; Robert Frank 001; R. Thomas McCoy (ACL (1), 2023)

NPIs Aren't Exactly Easy: Variation in Licensing across Large Language Models. - Deanna DeCarlo; William Palmer; Michael Wilson; Bob Frank (BlackboxNLP@EMNLP, 2023)

False perspectives on human language: why statistics needs linguistics. - Matteo Greco; Andrea Cometa; Fiorenzo Artoni; Robert Frank 001; Andrea Moro 003 (CoRR, 2023)

How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure. - Michael Wilson; Jackson Petty; Robert Frank 001 (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition. - Xiaomeng Zhu 004; Robert Frank 001 (ACL (1), 2024)

Is In-Context Learning a Type of Gradient-Based Learning? Evidence from the Inverse Frequency Effect in Structural Priming. - Zhenghao Zhou; Robert Frank 001; R. Thomas McCoy (CoRR, 2024)

Meaning Beyond Truth Conditions: Evaluating Discourse Level Understanding via Anaphora Accessibility. - Xiaomeng Zhu 004; Zhenghao Zhou; Simon Charlow; Robert Frank 001 (ACL (1), 2025)

Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming. - Zhenghao Zhou; Robert Frank 001; R. Thomas McCoy (NAACL (Long Papers), 2025)

Concise One-Layer Transformers Can Do Function Evaluation (Sometimes). - Lena Strobl; Dana Angluin; Robert Frank 001 (CoRR, 2025)