Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations

1 code implementation • COLING 2018 • Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts

Knowledge graphs are a versatile framework to encode richly structured data relationships, but it can be challenging to combine these graphs with unstructured data.

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

4 code implementations • 12 Aug 2014 • Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky, Andrew Y. Ng

This approach to decoding enables first-pass speech recognition with a language model, completely unaided by the cumbersome infrastructure of HMM-based systems.

Language Modelling speech-recognition +1

Building DNN Acoustic Models for Large Vocabulary Speech Recognition

1 code implementation • 30 Jun 2014 • Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng

We compare standard DNNs to convolutional networks, and present the first experiments using locally-connected, untied neural networks for acoustic modeling.

speech-recognition Speech Recognition

Learning Word Vectors for Sentiment Analysis

2 code implementations • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies 2011 • Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng

We present a model that uses a mix of unsupervised and supervised techniques to learn word vectors capturing semantic term–document information as well as rich sentiment content.

Sentiment Analysis Sentiment Classification