Search Results for author: William Hamilton

Found 5 papers, 3 papers with code

Stronger Transformers for Neural Multi-Hop Question Generation

no code implementations22 Oct 2020 Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William Hamilton

In this work, we introduce a series of strong transformer models for multi-hop question generation, including a graph-augmented transformer that leverages relations between entities in the text.

Question Generation Question-Generation

Do Syntax Trees Help Pre-trained Transformers Extract Information?

1 code implementation EACL 2021 Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William Hamilton

Our empirical analysis demonstrates that these syntax-infused transformers obtain state-of-the-art results on SRL and relation extraction tasks.

named-entity-recognition Named Entity Recognition +3

Actor Critic with Differentially Private Critic

no code implementations14 Oct 2019 Jonathan Lebensold, William Hamilton, Borja Balle, Doina Precup

Reinforcement learning algorithms are known to be sample inefficient, and often performance on one task can be substantially improved by leveraging information (e. g., via pre-training) on other related tasks.

reinforcement-learning Reinforcement Learning (RL) +1

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