activity
20192021
most citedHULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

15 citations · 39 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL20218 cited

Inductive Relation Prediction by BERT

Hanwen Zha, Zhiyu Chen, Xifeng Yan

Relation prediction in knowledge graphs is dominated by embedding based methods which mainly focus on the transductive setting. Unfortunately, they are not able to handle inductive…

cs.CL2020

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

Zhiyu Chen, Honglei Liu, Hu Xu +3

Existing conversational systems are mostly agent-centric, which assumes the user utterances would closely follow the system ontology (for NLU or dialogue state tracking). However,…

cs.CL202010 cited

Logical Natural Language Generation from Open-Domain Tables

Wenhu Chen, Jianshu Chen, Yu Su +2

Neural natural language generation (NLG) models have recently shown remarkable progress in fluency and coherence. However, existing studies on neural NLG are primarily focused on s…

cs.CL2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms

Zhiyu Chen, Wenhu Chen, Hanwen Zha +4

Previous works on Natural Language Generation (NLG) from structured data have primarily focused on surface-level descriptions of record sequences. However, for complex structured d…

cs.CL202015 cited

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin +1

Computation-intensive pretrained models have been taking the lead of many natural language processing benchmarks such as GLUE. However, energy efficiency in the process of model tr…

cs.CL20192 cited

Global Textual Relation Embedding for Relational Understanding

Zhiyu Chen, Hanwen Zha, Honglei Liu +3

Pre-trained embeddings such as word embeddings and sentence embeddings are fundamental tools facilitating a wide range of downstream NLP tasks. In this work, we investigate how to…