nlpwm-whu Goto Github PK

aal

Peisong Zhu, Zhuang Chen, Haojie Zheng and Tieyun Qian: Aspect Aware Learning for Aspect Category Sentiment Analysis. TKDD 2019: 13-6

aeda

Zhenni You, Tieyun Qian, Bing Liu: An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895

agnn

Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.

agtr

Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu: AGTR: Adversarial Generation of Target Review for Rating Prediction. DSE 2022

artan

Yile Liang, Tieyun Qian, Huilin Yu: Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA 2019: 249-253

beside

Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun: "Bridge": Enhanced Signed Directed Network Embedding. CIKM 2018: 773-782

bfgan

Xiaoya Tang, Tieyun Qian, Zhenni You: Generating Behavior Features for Cold-Start Spam Review Detection. DASFAA 2019: 324-328

bigcn

Mi Zhang and Tieyun Qian,Convolution over Hierarchical Level Sentiment Analysis,EMNLP2020

bridge

Zhuang Chen, Tieyun Qian: Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL/IJCNLP 2021: 317-327

cast

Code and dataset of our paper "Context-Aware Seq2seq Translation Model for Sequential Recommendation" submitted to Information Sciences.

catus

Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu. Pre-Training Across Different Cities for Next POI Recommendation. ACM Transactions on the Web (TWeb), accepted, 2023.

ccg

coco

Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao: Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. WWW 2023.

crcan_rgcn

Yiqi Chen, Tieyun Qian: Relation Constrained Attributed Network Embedding. Information Sciences 2020(515): 341-351.

d3a

Code of our WWWJ submission - Description and Demonstration Guided Data Augmentation for Sequence Tagging

daum

Peisong Zhu, Tieyun Qian: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018: 1077-1087

dop

Xuan Ma, Tieyun Qian, Ke Sun: Dynamic Open-book Prompt for Conversational Recommender System. Findings of EMNLP 2023

drr

code

edua

Code of our paper "Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation" accepted by SIGIR 2021.

gm_gen

Wanli Li and Tieyun Qian: Graph-based Model Generation for Few-Shot Relation Extraction, EMNLP 2022

guwen-dataset

ids4nr

Tieyun Qian; Yile Liang; Qing Li; Xuan Ma; Ke Sun; Zhiyong Peng: Intent Disentanglement and Feature Self-supervision for Novel Recommendation. TKDE 2022

lstpm

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

mplp

Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian: Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. IJCAI 2023

mrefg

Wanli Li and Tieyun Qian: Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction, IJCNN 2021

mtd4semire

Wanli Li and Tieyun Qian: "From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction"

nlpwm-whu.github.io

racl

Zhuang Chen, Tieyun Qian: Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020: 3685-3694

selfhier

Cold-start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. ECML-PKDD 2023

slgm

Shen Zhou, Tieyun Qian: On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. Findings of ACL 2023