Add to ORKGConfidence measures are a practical solution for improving the usefulness of Natural Language Processing applications. Confidence estimation is a generic machine learning approach for deriving confidence measures. We give an overview of the application of confidence estimation in various fields of Natural Language Processing, and present experimental results for speech recognition, spoken language understanding, and statistical machine translation
International audienceA confidence measure is able to estimate the reliability of an hypothesis prov...
Cette thèse de doctorat aborde les problématiques de l'estimation de confiance pour la traduction au...
This article introduces and evaluates several different word-level confidence measures for machine t...
The thesis introduces the Confidence Measure framework to the parsing world. They are widely used in...
Confidence Estimation has been extensively used in Speech Recognition and now it is also being appli...
Despite the significant advances in speech and language technologies speech recognition systems are ...
In this paper we present a new application for confidence measures in spoken language processing. In...
This article introduces and evaluates several different word-level confidence measures for ma-chine ...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
We describe some high-level approaches to estimating confidence scores for the words output by a spe...
Abstract. In this paper, we will address the question of how to efficiently integrate word confidenc...
Confidence measures for the results of speech/speaker recognition make the systems more useful in th...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
In this paper we introduce four acoustic confidence measures which are derived from the output of a ...
This paper describes an efficient method to perform word confidence measures in an automatic speech ...
International audienceA confidence measure is able to estimate the reliability of an hypothesis prov...
Cette thèse de doctorat aborde les problématiques de l'estimation de confiance pour la traduction au...
This article introduces and evaluates several different word-level confidence measures for machine t...
The thesis introduces the Confidence Measure framework to the parsing world. They are widely used in...
Confidence Estimation has been extensively used in Speech Recognition and now it is also being appli...
Despite the significant advances in speech and language technologies speech recognition systems are ...
In this paper we present a new application for confidence measures in spoken language processing. In...
This article introduces and evaluates several different word-level confidence measures for ma-chine ...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
We describe some high-level approaches to estimating confidence scores for the words output by a spe...
Abstract. In this paper, we will address the question of how to efficiently integrate word confidenc...
Confidence measures for the results of speech/speaker recognition make the systems more useful in th...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
In this paper we introduce four acoustic confidence measures which are derived from the output of a ...
This paper describes an efficient method to perform word confidence measures in an automatic speech ...
International audienceA confidence measure is able to estimate the reliability of an hypothesis prov...
Cette thèse de doctorat aborde les problématiques de l'estimation de confiance pour la traduction au...
This article introduces and evaluates several different word-level confidence measures for machine t...