Publications

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions

Enabling human operators to interact with robotic agents using natural language would allow non-experts to intuitively instruct these …

Iterative Paraphrastic Augmentation with Discriminative Span Alignment

Joint Universal Syntactic and Semantic Parsing

While numerous attempts have been made to jointly parse syntax and semantics, high performance in one domain typically comes at the …

Human-Model Divergence in the Handling of Vagueness

While aggregate performance metrics can generate valuable insights at a large scale, their dominance means more complex and nuanced …

Universal Decompositional Semantic Parsing

We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to …

The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1. 0), which is bundled with the Decomp toolkit (v0. 1). UDS1. 0 …

A Discriminative Neural Model for Cross-Lingual Word Alignment

We introduce a novel discriminative word alignment model, which we integrate into a Transformer-based machine translation model. In …

Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora.

Speech datasets from many languages, styles, and sources exist in the world, representing significant potential for scientific studies …