activity
20212026
most citedTemporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

14 citations · 46 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.AI2023★ 1 cited

Retrieval-Augmented Code Generation for Universal Information Extraction

Yucan Guo, Zixuan Li, Xiaolong Jin +8

Information Extraction (IE) aims to extract structural knowledge (e.g., entities, relations, events) from natural language texts, which brings challenges to existing methods due to…

cs.CL2023

An In-Context Schema Understanding Method for Knowledge Base Question Answering

Yantao Liu, Zixuan Li, Xiaolong Jin +5

The Knowledge Base Question Answering (KBQA) task aims to answer natural language questions based on a given knowledge base. Recently, Large Language Models (LLMs) have shown stron…

cs.CL2023

ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction

Zhilei Hu, Zixuan Li, Daozhu Xu +5

Event Relation Extraction (ERE) aims to extract multiple kinds of relations among events in texts. However, existing methods singly categorize event relations as different classes,…

cs.CL2023

Nested Event Extraction upon Pivot Element Recogniton

Weicheng Ren, Zixuan Li, Xiaolong Jin +6

Nested Event Extraction (NEE) aims to extract complex event structures where an event contains other events as its arguments recursively. Nested events involve a kind of Pivot Elem…

cs.RO2023★ 2 cited

Surfer: Progressive Reasoning with World Models for Robotic Manipulation

Pengzhen Ren, Kaidong Zhang, Hetao Zheng +5

Considering how to make the model accurately understand and follow natural language instructions and perform actions consistent with world knowledge is a key challenge in robot man…

cs.CL2023★ 2 cited

Semantic Structure Enhanced Event Causality Identification

Zhilei Hu, Zixuan Li, Xiaolong Jin +4

Event Causality Identification (ECI) aims to identify causal relations between events in unstructured texts. This is a very challenging task, because causal relations are usually e…

cs.LG2023★ 2 cited

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets

Xuhui Jiang, Chengjin Xu, Yinghan Shen +7

The flourishing of knowledge graph applications has driven the need for entity alignment (EA) across KGs. However, the heterogeneity of practical KGs, characterized by differing sc…