Learning Methods
Related Papers
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The amount of readily available on-line text has reached hundreds of billions of words and continues to grow. Yet for most core natural language tasks, algorithms continue to be optimized, …...
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In this paper we look at the conjugation of the Romanian verb, in particular, at its ir- regularities, from a machine learning point of view. Our attempt is to predict …...
Controlling Output Length in Neural Encoder-Decoders
Neural encoder-decoder models have shown great success in many sequence generation tasks. However, previous work has not in- vestigated situations in which we would like to control the length of …...
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AbstractLack of repeatability and generalisability are two significant threats to continuing scientific development in Natural Language Processing. Language models and learning methods are so complex that scientific conference papers no …...
Learning with Contrastive Examples for Data-to-Text Generation
AbstractExisting models for data-to-text tasks generate fluent but sometimes incorrect sentences e.g., “Nikkei gains” is generated when “Nikkei drops” is expected. We investigate models trained on contrastive examples i.e., incorrect …...