Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora. - George Aaron Broadwell; Umit Boz; Ignacio Cases; Tomek Strzalkowski; Laurie Feldman; Sarah M. Taylor; Samira Shaikh; Ting Liu 003; Kit Cho; Nick Webb (SBP, 2013)

Discovering Conceptual Metaphors using Source Domain Spaces. - Samira Shaikh; Tomek Strzalkowski; Kit Cho; Ting Liu 003; George Aaron Broadwell; Laurie Feldman; Sarah M. Taylor; Boris Yamrom; Ching-Sheng Lin; Ning Sa; Ignacio Cases; Yuliya Peshkova; et al. (CogALex@COLING, 2014)

Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings. - Ting Liu 003; Kit Cho; George Aaron Broadwell; Samira Shaikh; Tomek Strzalkowski; John Lien; Sarah M. Taylor; Laurie Feldman; Boris Yamrom; Nick Webb; Umit Boz; Ignacio Cases; et al. (LREC, 2014)

A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors. - Samira Shaikh; Tomek Strzalkowski; Ting Liu 003; George Aaron Broadwell; Boris Yamrom; Sarah M. Taylor; Laurie Feldman; Kit Cho; Umit Boz; Ignacio Cases; Yuliya Peshkova; Ching-Sheng Lin (LREC, 2014)

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. - Ruihong Huang; Ignacio Cases; Dan Jurafsky; Cleo Condoravdi; Ellen Riloff (EMNLP, 2016)

On the Effective Use of Pretraining for Natural Language Inference. - Ignacio Cases; Minh-Thang Luong; Christopher Potts (CoRR, 2017)

Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences. - Atticus Geiger; Ignacio Cases; Lauri Karttunen; Christopher Potts (CoRR, 2018)

Posing Fair Generalization Tasks for Natural Language Inference. - Atticus Geiger; Ignacio Cases; Lauri Karttunen; Christopher Potts (EMNLP/IJCNLP (1), 2019)

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. - Matthew Riemer; Ignacio Cases; Robert Ajemian; Miao Liu 001; Irina Rish; Yuhai Tu; Gerald Tesauro (ICLR (Poster), 2019)

Recursive Routing Networks: Learning to Compose Modules for Language Understanding. - Ignacio Cases; Clemens Rosenbaum; Matthew Riemer; Atticus Geiger; Tim Klinger; Alex Tamkin; Olivia Li; Sandhini Agarwal; Joshua D. Greene; Dan Jurafsky; Christopher Potts; Lauri Karttunen (NAACL-HLT (1), 2019)

Routing Networks and the Challenges of Modular and Compositional Computation. - Clemens Rosenbaum; Ignacio Cases; Matthew Riemer; Tim Klinger (CoRR, 2019)

On the Role of Weight Sharing During Deep Option Learning. - Matthew Riemer; Ignacio Cases; Clemens Rosenbaum; Miao Liu 001; Gerald Tesauro (AAAI, 2020)

Quantifying the Emergence of Symbolic Communication. - Emily Cheng; Yen-Ling Kuo; Josefina Correa; Boris Katz; Ignacio Cases; Andrei Barbu (CogSci, 2022)

The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. - Adam Uri Yaari; Jan DeWitt; Henry Hu; Bennett Stankovits; Sue Felshin; Yevgeni Berzak; Helena Aparicio; Boris Katz; Ignacio Cases; Andrei Barbu (EMNLP, 2022)

Continual Learning In Environments With Polynomial Mixing Times. - Matthew Riemer; Sharath Chandra Raparthy; Ignacio Cases; Gopeshh Subbaraj; Maximilian Puelma Touzel; Irina Rish (NeurIPS, 2022)

BrainBERT: Self-supervised representation learning for intracranial recordings. - Christopher Wang; Vighnesh Subramaniam; Adam Uri Yaari; Gabriel Kreiman; Boris Katz; Ignacio Cases; Andrei Barbu (ICLR, 2023)

Revealing Vision-Language Integration in the Brain with Multimodal Networks. - Vighnesh Subramaniam; Colin Conwell; Christopher Wang; Gabriel Kreiman; Boris Katz; Ignacio Cases; Andrei Barbu (ICML, 2024)

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. - Christopher Wang; Adam Uri Yaari; Aaditya Singh; Vighnesh Subramaniam; Dana Rosenfarb; Jan DeWitt; Pranav Misra; Joseph R. Madsen; Scellig S. Stone; Gabriel Kreiman; Boris Katz; Ignacio Cases; et al. (NeurIPS, 2024)

Baba Is AI: Break the Rules to Beat the Benchmark. - Nathan Cloos; Meagan Jens; Michelangelo Naim; Yen-Ling Kuo; Ignacio Cases; Andrei Barbu; Christopher J. Cueva (CoRR, 2024)