Search Results for author:
Found 5 papers, 2 papers with code
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Humans have the capability, aided by the expressive compositionality of their language, to learn quickly by demonstration.
InFillmore: Frame-Guided Language Generation with Bidirectional Context
We propose a structured extension to bidirectional-context conditional language generation, or "infilling," inspired by Frame Semantic theory (Fillmore, 1976).
COD3S: Diverse Generation with Discrete Semantic Signatures
We present COD3S, a novel method for generating semantically diverse sentences using neural sequence-to-sequence (seq2seq) models.
Probing Neural Language Models for Human Tacit Assumptions
Our prompts are based on human responses in a psychological study of conceptual associations.
An End-to-end Neural Natural Language Interface for Databases
The ability to extract insights from new data sets is critical for decision making.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
