From the 1 of 1.6k papers with an AI index.
24.4k citations
- University of California, BerkeleyUS97 papers
- Stanford UniversityUS79 papers
- Massachusetts Institute of TechnologyUS72 papers
- Google DeepMind (United Kingdom)GB56 papers
- Carnegie Mellon UniversityUS54 papers
- University of TorontoCA51 papers
- Princeton UniversityUS48 papers
- Cornell UniversityUS44 papers
- University of Illinois Urbana-ChampaignUS36 papers
- Columbia UniversityUS35 papers
- University of California, Santa BarbaraUS33 papers
- University of ChicagoUS30 papers
8 papers · 2 filters
Learning to Compose Words into Sentences with Reinforcement Learning
Dani Yogatama, Phil Blunsom, Chris Dyer +2
We use reinforcement learning to learn tree-structured neural networks for computing representations of natural language sentences. In contrast with prior work on tree-structured m…
Learning a Natural Language Interface with Neural Programmer
Arvind Neelakantan, Quoc V. Le, Martin Abadi +2
Learning a natural language interface for database tables is a challenging task that involves deep language understanding and multi-step reasoning. The task is often approached by…
What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong +3
Recurrent neural network grammars (RNNG) are a recently proposed probabilistic generative modeling family for natural language. They show state-of-the-art language modeling and par…
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
We present results that show it is possible to build a competitive, greatly simplified, large vocabulary continuous speech recognition system with whole words as acoustic units. We…
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang, William Chan, Navdeep Jaitly
Sequence-to-sequence models have shown success in end-to-end speech recognition. However these models have only used shallow acoustic encoder networks. In our work, we successively…
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
Yonatan Bisk, Siva Reddy, John Blitzer +2
We compare the effectiveness of four different syntactic CCG parsers for a semantic slot-filling task to explore how much syntactic supervision is required for downstream semantic…