activity
20182022
most citedSemantic Hilbert Space for Text Representation Learning

47 citations · 95 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL202210 cited

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…

cs.CL20204 cited

A Multi-task Learning Framework for Opinion Triplet Extraction

Chen Zhang, Qiuchi Li, Dawei Song +1

The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extract…

cs.CL20204 cited

Meta-Learning for Neural Relation Classification with Distant Supervision

Zhenzhen Li, Jian-Yun Nie, Benyou Wang +4

Distant supervision provides a means to create a large number of weakly labeled data at low cost for relation classification. However, the resulting labeled instances are very nois…

cs.CL2019

Encoding word order in complex embeddings

Benyou Wang, Donghao Zhao, Christina Lioma +3

Sequential word order is important when processing text. Currently, neural networks (NNs) address this by modeling word position using position embeddings. The problem is that posi…

cs.CL201930 cited

CNM: An Interpretable Complex-valued Network for Matching

Qiuchi Li, Benyou Wang, Massimo Melucci

This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifi…

cs.CL201947 cited

Semantic Hilbert Space for Text Representation Learning

Benyou Wang, Qiuchi Li, Massimo Melucci +1

Capturing the meaning of sentences has long been a challenging task. Current models tend to apply linear combinations of word features to conduct semantic composition for bigger-gr…