The Sentence Representation Learning Team

Part of JSALT 2018 at The Johns Hopkins University

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We are a team of researchers participating in the six-week JSALT 2018 in-person intensive research summer camp at the CLSP at Johns Hopkins University.

Research proposal: Our group will work to improve the ability of artificial neural network models to represent and understand sentence meaning. Candidate systems will be evaluated on their ability to solve a suite language understanding tasks using a single shared sentence encoder component, combined with a set of ten lightweight task-specific attention models. We expect to explore new methods for unsupervised learning, new objectives and techniques for multi-task and transfer learning, and new methods for linguistically sophisticated error analysis.

We use baselines and metrics from the GLUE benchmark suite.

Because we study ELMo, and because JSALT provides cookies generously, our mascot is Cookie Monster.


The Team

Team Leaders

Senior Researchers

Graduate Student Researchers

Undergraduate Student Researchers

Advisors and Consulting Participants