Jiawei Sheng | DeepAI

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Featured Co-authors

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∙ 08/04/2023

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction

Script Event Prediction (SEP) aims to predict the subsequent event for a...

0 Shiyao Cui, et al. ∙

∙ 04/08/2023

Contrastive Cross-Domain Sequential Recommendation

Cross-Domain Sequential Recommendation (CDSR) aims to predict future int...

0 Jiangxia Cao, et al. ∙

∙ 04/05/2023

Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck

This paper studies the multimodal named entity recognition (MNER) and mu...

0 Shiyao Cui, et al. ∙

∙ 04/04/2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

The multi-modal entity alignment (MMEA) aims to find all equivalent enti...

0 Qian Li, et al. ∙

∙ 01/27/2023

Event Causality Extraction with Event Argument Correlations

Event Causality Identification (ECI), which aims to detect whether a cau...

0 Shiyao Cui, et al. ∙

∙ 11/15/2022

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems

Event detection in power systems aims to identify triggers and event typ...

0 Qian Li, et al. ∙

∙ 03/31/2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

Recommender systems have been widely deployed in many real-world applica...

0 Jiangxia Cao, et al. ∙

∙ 10/09/2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning

Distantly supervised named entity recognition (DS-NER) efficiently reduc...

0 Xinghua Zhang, et al. ∙

∙ 08/23/2021

Event Extraction by Associating Event Types and Argument Roles

Event extraction (EE), which acquires structural event knowledge from te...

0 Qian Li, et al. ∙

∙ 07/05/2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends

Schema-based event extraction is a critical technique to apprehend the e...

12 Qian Li, et al. ∙

∙ 07/04/2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

Event extraction (EE) is a crucial information extraction task that aims...

0 Jiawei Sheng, et al. ∙

∙ 10/19/2020

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

Few-shot Knowledge Graph (KG) completion is a focus of current research,...

0 Jiawei Sheng, et al. ∙

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