67 citations · 104 across the 9 of their papers we have counts for
9 papers
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Shiyao Cui, Xin Cong, Jiawei Sheng +3
Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain from a candidate list. Prior research has achieved great success by integrating external…
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
Shiyao Cui, Jiangxia Cao, Xin Cong +4
This paper studies the multimodal named entity recognition (MNER) and multimodal relation extraction (MRE), which are important for multimedia social platform analysis. The core of…
URM4DMU: an user represention model for darknet markets users
Hongmeng Liu, Jiapeng Zhao, Yixuan Huo +5
Darknet markets provide a large platform for trading illicit goods and services due to their anonymity. Learning an invariant representation of each user based on their posts on di…
Event Causality Extraction with Event Argument Correlations
Shiyao Cui, Jiawei Sheng, Xin Cong +3
Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understand…
Efficient method for calculating the eigenvalue of the Zakharov-Shabat system
Shikun Cui, Zhen Wang
In this paper, a numerical method is proposed to calculate the eigenvalues of the Zakharov-Shabat system based on Chebyshev polynomials. A mapping in the form of tanh(ax) is constr…
Document-Level Event Extraction via Human-Like Reading Process
Shiyao Cui, Xin Cong, Bowen Yu +3
Document-level Event Extraction (DEE) is particularly tricky due to the two challenges it poses: scattering-arguments and multi-events. The first challenge means that arguments of…
A deep learning method for solving high-order nonlinear soliton equation
Shikun Cui, Zhen Wang, Jiaqi Han +1
We propose effective scheme of deep learning method for high-order nonlinear soliton equation and compare the activation function for high-order soliton equation. The neural networ…
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Xin Cong, Bowen Yu, Tingwen Liu +3
Few-shot classification tends to struggle when it needs to adapt to diverse domains. Due to the non-overlapping label space between domains, the performance of conventional domain…
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Shiyao Cui, Bowen Yu, Tingwen Liu +3
Event detection (ED), a key subtask of information extraction, aims to recognize instances of specific event types in text. Previous studies on the task have verified the effective…