Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing

no code implementations • Findings (EMNLP) 2021 • Boda Lin, Mingzheng Li, Si Li, Yong Luo

Unsupervised cross-domain dependency parsing is to accomplish domain adaptation for dependency parsing without using labeled data in target domain.

Dependency Parsing Unsupervised Domain Adaptation

Hybrid Multimodal Fusion for Humor Detection

no code implementations • 24 Sep 2022 • Haojie Xu, Weifeng Liu, Jingwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang

Our experiments demonstrate the effectiveness of our proposed model and hybrid fusion strategy on multimodal fusion, and the AUC of our proposed model on the test set is 0. 8972.

Humor Detection

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering

no code implementations • 14 Dec 2021 • Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu

Thus, graph pre-training has the great potential to alleviate data sparsity in GNN-based recommendations.

Collaborative Filtering

Localized Graph Collaborative Filtering

no code implementations • 10 Aug 2021 • Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang

These methods often make recommendations based on the learned user and item embeddings.

Collaborative Filtering Graph Representation Learning +1