activity
20182022
most citedSimple BERT Models for Relation Extraction and Semantic Role Labeling

194 citations · 216 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY20223 cited

Semi-global Periodic Event-triggered Output Regulation for Nonlinear Multi-agent Systems

Shiqi Zheng, Peng Shi, Huiyan Zhang

This study focuses on periodic event-triggered (PET) cooperative output regulation problem for a class of nonlinear multi-agent systems. The key feature of PET mechanism is that ev…

cs.IR20195 cited

Cross-Lingual Relevance Transfer for Document Retrieval

Peng Shi, Jimmy Lin

Recent work has shown the surprising ability of multi-lingual BERT to serve as a zero-shot cross-lingual transfer model for a number of language processing tasks. We combine this f…

cs.CL20191 cited

Aligning Cross-Lingual Entities with Multi-Aspect Information

Hsiu-Wei Yang, Yanyan Zou, Peng Shi +3

Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in different languages. The task of cross-lingual entity alignment is to match entities in a sourc…

cs.CL2019194 cited

Simple BERT Models for Relation Extraction and Semantic Role Labeling

Peng Shi, Jimmy Lin

We present simple BERT-based models for relation extraction and semantic role labeling. In recent years, state-of-the-art performance has been achieved using neural models by incor…

cs.CL201913 cited

Matching Entities Across Different Knowledge Graphs with Graph Embeddings

Michael Azmy, Peng Shi, Jimmy Lin +1

This paper explores the problem of matching entities across different knowledge graphs. Given a query entity in one knowledge graph, we wish to find the corresponding real-world en…

cs.CL2018

Simple Attention-Based Representation Learning for Ranking Short Social Media Posts

Peng Shi, Jinfeng Rao, Jimmy Lin

This paper explores the problem of ranking short social media posts with respect to user queries using neural networks. Instead of starting with a complex architecture, we proceed…