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Meta Answering for Machine Reading
We investigate a framework for machine reading, inspired by real world i...
11/11/2019 ∙ by Benjamin Borschinger, et al. ∙
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Scalable Probabilistic Entity-Topic Modeling
We present an LDA approach to entity disambiguation. Each topic is assoc...
09/02/2013 ∙ by Neil Houlsby, et al. ∙
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Explaining away ambiguity: Learning verb selectional preference with Bayesian networks
This paper presents a Bayesian model for unsupervised learning of verb s...
08/22/2000 ∙ by Massimiliano Ciaramita, et al. ∙
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Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
We frame Question Answering as a Reinforcement Learning task, an approac...
05/22/2017 ∙ by Christian Buck, et al. ∙
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Analyzing Language Learned by an Active Question Answering Agent
We analyze the language learned by an agent trained with reinforcement l...
01/23/2018 ∙ by Christian Buck, et al. ∙
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Zero-Shot Dual Machine Translation
Neural Machine Translation (NMT) systems rely on large amounts of parall...
05/25/2018 ∙ by Lierni Sestorain, et al. ∙
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Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
We propose a method to efficiently learn diverse strategies in reinforce...
09/27/2018 ∙ by Rodrigo Nogueira, et al. ∙
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