568 citations · 986 across the 37 of their papers we have counts for
7 papers · 1 filter
Document-level Relation Extraction with Relation Correlations
Ridong Han, Tao Peng, Benyou Wang +2
Document-level relation extraction faces two overlooked challenges: long-tail problem and multi-label problem. Previous work focuses mainly on obtaining better contextual represent…
MorphTE: Injecting Morphology in Tensorized Embeddings
Guobing Gan, Peng Zhang, Sunzhu Li +2
In the era of deep learning, word embeddings are essential when dealing with text tasks. However, storing and accessing these embeddings requires a large amount of space. This is n…
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Zhongwei Wan, Xin Liu, Benyou Wang +5
Session-based recommendation (SBR) systems aim to utilize the user's short-term behavior sequence to predict the next item without the detailed user profile. Most recent works try…
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Zhengyang Tang, Benyou Wang, Ting Yao
Deep prompt tuning (DPT) has gained great success in most natural language processing~(NLP) tasks. However, it is not well-investigated in dense retrieval where fine-tuning~(FT) st…
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Benyou Wang, Xiangbo Wu, Xiaokang Liu +3
Language is the principal tool for human communication, in which humor is one of the most attractive parts. Producing natural language like humans using computers, a.k.a, Natural L…
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets
Yi Yang, Chen Zhang, Benyou Wang +1
Over-parameterized models, typically pretrained language models (LMs), have shown an appealing expressive power due to their small learning bias. However, the huge learning capacit…
Exploring Extreme Parameter Compression for Pre-trained Language Models
Yuxin Ren, Benyou Wang, Lifeng Shang +2
Recent work explored the potential of large-scale Transformer-based pre-trained models, especially Pre-trained Language Models (PLMs) in natural language processing. This raises ma…