activity
20162021
most citedGradual Fine-Tuning for Low-Resource Domain Adaptation

16 citations · 39 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019

Universal Decompositional Semantic Parsing

Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang +1

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

cs.CL2019

The Universal Decompositional Semantics Dataset and Decomp Toolkit

Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha +9

We present the Universal Decompositional Semantics (UDS) dataset (v1.0), which is bundled with the Decomp toolkit (v0.1). UDS1.0 unifies five high-quality, decompositional semantic…

cs.CL2019

A Framework for Decoding Event-Related Potentials from Text

Shaorong Yan, Aaron Steven White

We propose a novel framework for modeling event-related potentials (ERPs) collected during reading that couples pre-trained convolutional decoders with a language model. Using this…

cs.CL2019

Fine-Grained Temporal Relation Extraction

Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White

We present a novel semantic framework for modeling temporal relations and event durations that maps pairs of events to real-valued scales. We use this framework to construct the la…

cs.CL2019★ 16 cited

Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements

Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White

We present a novel semantic framework for modeling linguistic expressions of generalization---generic, habitual, and episodic statements---as combinations of simple, real-valued re…