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Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
Automating Crowd-supervised Learning for Spoken Language Systems
Automating Crowd-supervised Learning Spoken Language Systems
2014/11/27
Spoken language systems often rely on static speech recognizers. When the underlying models are improved on-the-fly,training is usually performed using unsupervised methods. In this work, we explore a...
Learning Bilingual Linguistic Reordering Model for Statistical Machine Translati
Learning Bilingual Linguistic Reordering Model Statistical Machine Translati
2013/4/22
In this paper, we propose a method for learning reordering model for BTG-based statistical machine translation (SMT). The model focuses on linguistic features from bilingual phrases. Our method involv...
Learning Context-Dependent Mappings from Sentences to Logical Form
Learning Context-Dependent Mappings Sentences Logical Form
2013/4/22
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus meaning representations. ...