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method ID: minimumrisktraining

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We present a unified approach to perform- ing minimum risk training and minimum Bayes risk (MBR) decoding with BLEU in a phrase-based model. Key to our ap- proach is the …...

28284

Minimum-Risk Training of Approximate CRF-Based NLP Systems

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Publication: TIPSTER (2012)

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Conditional Random Fields (CRFs) are a pop- ular formalism for structured prediction in NLP. It is well known how to train CRFs with certain topologies that admit exact inference, such …...

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Minimum Risk Training for Neural Machine Translation

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We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is ca- pable of optimizing model parameters di- rectly with respect to …...

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AbstractWe present a neural transition-based model that uses a simple set of edit actions (copy, delete, insert) for morphological transduction tasks such as inflection generation, lemmatization, and reinflection. In a …...

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Global Optimization under Length Constraint for Neural Text Summarization

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Towards Explainable NLP: A Generative Explanation Framework for Text Classification

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Using Context in Neural Machine Translation Training Objectives

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BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

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38569