activity
20192021
most citedDirectProbe: Studying Representations without Classifiers

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

Zeyu You, Yichu Zhou, Tao Yang +1

Anomaly detection or outlier detection is a common task in various domains, which has attracted significant research efforts in recent years. Existing works mainly focus on structu…

cs.CL2021

Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords

Taelin Karidi, Yichu Zhou, Nathan Schneider +2

We present a method for exploring regions around individual points in a contextualized vector space (particularly, BERT space), as a way to investigate how these regions correspond…

cs.CL20212 cited

DirectProbe: Studying Representations without Classifiers

Yichu Zhou, Vivek Srikumar

Understanding how linguistic structures are encoded in contextualized embedding could help explain their impressive performance across NLP@. Existing approaches for probing them us…

cs.CL2020

A Simple Global Neural Discourse Parser

Yichu Zhou, Omri Koshorek, Vivek Srikumar +1

Discourse parsing is largely dominated by greedy parsers with manually-designed features, while global parsing is rare due to its computational expense. In this paper, we propose a…

cs.CL2019

On the Limits of Learning to Actively Learn Semantic Representations

Omri Koshorek, Gabriel Stanovsky, Yichu Zhou +2

One of the goals of natural language understanding is to develop models that map sentences into meaning representations. However, training such models requires expensive annotation…