activity
20182022
most citedGraph Neural Networks with Generated Parameters for Relation Extraction

26 citations · 37 across the 6 of their papers we have counts for

collaborators

10 papers

cs.LG2022

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue

So Yeon Min, Hao Zhu, Ruslan Salakhutdinov +1

Embodied dialogue instruction following requires an agent to complete a complex sequence of tasks from a natural language exchange. The recent introduction of benchmarks (Padmakuma…

cs.CL2021

Dependency Induction Through the Lens of Visual Perception

Ruisi Su, Shruti Rijhwani, Hao Zhu +4

Most previous work on grammar induction focuses on learning phrasal or dependency structure purely from text. However, because the signal provided by text alone is limited, recentl…

cs.CL20216 cited

Few-shot Language Coordination by Modeling Theory of Mind

Hao Zhu, Graham Neubig, Yonatan Bisk

Humans communicate with a large community by coordinating with different interlocutors within short conversations. This ability has been understudie…

cs.CL2020

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

Hao Zhu, Yonatan Bisk, Graham Neubig

In this paper we demonstrate that . This contrasts to the most p…

cs.CL20195 cited

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

Tianyu Gao, Xu Han, Hao Zhu +4

We present FewRel 2.0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of inst…

cs.AI2019

Quantifying Similarity between Relations with Fact Distribution

Weize Chen, Hao Zhu, Xu Han +2

We introduce a conceptually simple and effective method to quantify the similarity between relations in knowledge bases. Specifically, our approach is based on the divergence betwe…