48 citations · 75 across the 3 of their papers we have counts for
7 papers
Scaling Up Models and Data with and
Adam Roberts, Hyung Won Chung, Anselm Levskaya +40
Recent neural network-based language models have benefited greatly from scaling up the size of training datasets and the number of parameters in the models themselves. Scaling can…
Fool Me Twice: Entailment from Wikipedia Gamification
Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian +2
We release FoolMeTwice (FM2 for short), a large dataset of challenging entailment pairs collected through a fun multi-player game. Gamification encourages adversarial examples, dra…
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian +2
We introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims. By providing a dataset for the research community, we aim to facilit…
Meta Answering for Machine Reading
Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck +7
We investigate a framework for machine reading, inspired by real world information-seeking problems, where a meta question answering system interacts with a black box environment.…
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Rodrigo Nogueira, Jannis Bulian, Massimiliano Ciaramita
We propose a method to efficiently learn diverse strategies in reinforcement learning for query reformulation in the tasks of document retrieval and question answering. In the prop…
Analyzing Language Learned by an Active Question Answering Agent
Christian Buck, Jannis Bulian, Massimiliano Ciaramita +4
We analyze the language learned by an agent trained with reinforcement learning as a component of the ActiveQA system [Buck et al., 2017]. In ActiveQA, question answering is framed…