Search Results for author: Shiyao Cui

Found 14 papers, 7 papers with code

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction

1 code implementation12 Jan 2024 Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu

Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a given sentence, which is a critical task in the field of aspect-based sentiment analysis.

Aspect-Based Sentiment Analysis Data Augmentation +2

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

1 code implementation30 Nov 2023 Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu

The widespread of generative artificial intelligence has heightened concerns about the potential harms posed by AI-generated texts, primarily stemming from factoid, unfair, and toxic content.

Fairness Instruction Following +1

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction

no code implementations4 Aug 2023 Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi

In this paper, we regard public pre-trained language models as knowledge bases and automatically mine the script-related knowledge via prompt-learning.

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

no code implementations19 Jun 2023 Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, JianXin Li

Multi-Modal Relation Extraction (MMRE) aims at identifying the relation between two entities in texts that contain visual clues.

Decoder Relation +1

Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck

no code implementations5 Apr 2023 Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi

For the first issue, a refinement-regularizer probes the information-bottleneck principle to balance the predictive evidence and noisy information, yielding expressive representations for prediction.

named-entity-recognition Named Entity Recognition +3

URM4DMU: an user represention model for darknet markets users

no code implementations19 Mar 2023 Hongmeng Liu, Jiapeng Zhao, Yixuan Huo, Yuyan Wang, Chun Liao, Liyan Shen, Shiyao Cui, Jinqiao Shi

Traditional user representation methods mainly rely on modeling the text information of posts and cannot capture the temporal content and the forum interaction of posts.

Event Causality Extraction with Event Argument Correlations

1 code implementation COLING 2022 Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi

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 understanding.

Event Causality Identification

Relation-Guided Few-Shot Relational Triple Extraction

1 code implementation SIGIR 2022 Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang

To instantiate this strategy, we further propose a model, RelATE, which builds a dual-level attention to aggregate relationrelevant information to detect the relation occurrence and utilizes the annotated samples of the detected relations to extract the corresponding head/tail entities.

Relation RTE +1

Document-Level Event Extraction via Human-Like Reading Process

no code implementations7 Feb 2022 Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi

Meanwhile, rough reading is explored in a multi-round manner to discover undetected events, thus the multi-events problem is handled.

Document-level Event Extraction Event Extraction

A Survey on Deep Learning Event Extraction: Approaches and Applications

no code implementations5 Jul 2021 Qian Li, JianXin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu

Numerous methods, datasets, and evaluation metrics have been proposed in the literature, raising the need for a comprehensive and updated survey.

Event Extraction

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks

no code implementations3 Dec 2020 Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi

A heterogeneous graph attention networks is then introduced to propagate relational message and enrich information interaction.

Event Detection Graph Attention +1

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

1 code implementation23 Jun 2020 Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang

We first build a representation extractor to derive features for unlabeled data from the target domain (no test data is necessary) and then group them with a cluster miner.

Classification Clustering +2

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