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Found 6 papers, 0 papers with code
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
Natural Language Understanding (NLU) models are typically trained in a supervised learning framework.
Large-Scale Categorization of Japanese Product Titles Using Neural Attention Models
We propose a variant of Convolutional Neural Network (CNN) models, the Attention CNN (ACNN); for large-scale categorization of millions of Japanese items into thirty-five product categories.
Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce
The cataloging of product listings through taxonomy categorization is a fundamental problem for any e-commerce marketplace, with applications ranging from personalized search recommendations to query understanding.
Building Text-To-Speech Voices in the Cloud
The AT{\&}T VoiceBuilder provides a new tool to researchers and practitioners who want to have their voices synthesized by a high-quality commercial-grade text-to-speech system without the need to install, configure, or manage speech processing software and equipment. It is implemented as a web service on the AT{\&}T Speech Mashup Portal. The system records and validates users' utterances, processes them to build a synthetic voice and provides a web service API to make the voice available to real-time applications through a scalable cloud-based processing platform.
