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Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation ...
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Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss ...
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Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback ...
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Exploiting auxiliary distributions in stochastic unification-based grammars ...
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Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training ...
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Estimators for Stochastic ``Unification-Based'' Grammars ...
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Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution ...
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Abstract:
This paper presents the use of probabilistic class-based lexica for disambiguation in target-word selection. Our method employs minimal but precise contextual information for disambiguation. That is, only information provided by the target-verb, enriched by the condensed information of a probabilistic class-based lexicon, is used. Induction of classes and fine-tuning to verbal arguments is done in an unsupervised manner by EM-based clustering techniques. The method shows promising results in an evaluation on real-world translations. ... : 7 pages, uses colacl.sty ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; I.2.6, I.2.7
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URL: https://arxiv.org/abs/cs/0008035 https://dx.doi.org/10.48550/arxiv.cs/0008035
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Inside-Outside Estimation of a Lexicalized PCFG for German ...
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Inducing a Semantically Annotated Lexicon via EM-Based Clustering ...
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