Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
(2020).
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Obtaining Faithful Interpretations from Compositional Neural Networks
(ACL,
2020).
Sanjay Subramanian*, Ben Bogin*, Nitish Gupta*, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Evaluating nlp models via contrast sets
(Findings of EMNLP,
2020).
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
Global Reasoning over Database Structures for Text-to-SQL Parsing
(EMNLP,
2019).
Ben Bogin, Matt Gardner, Jonathan Berant
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
(ACL,
2019).
Ben Bogin, Matt Gardner, Jonathan Berant
Grammar-based Neural Text-to-SQL Generation
(2019).
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner
Emergence of Communication in an Interactive World with Consistent Speakers
(Emergent Communication Workshop at NIPS,
2018).
Ben Bogin, Mor Geva, Jonathan Berant
Towards an argumentative content search engine using weak supervision
(COLING,
2018).
Ran Levy*, Ben Bogin*, Shai Gretz*, Ranit Aharonov, Noam Slonim
Language Generation with Recurrent Generative Adversarial Networks without Pre-training
(Subword and Character level models in NLP Workshop, EMNLP,
2017).
Ofir Press*, Amir Bar*, Ben Bogin*, Jonathan Berant, Lior Wolf
