8 citations · 19 across the 10 of their papers we have counts for
10 papers
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval
Yuxuan Zhou, Ziyu Jin, Meiwei Li +4
The NLI4CT task aims to entail hypotheses based on Clinical Trial Reports (CTRs) and retrieve the corresponding evidence supporting the justification. This task poses a significant…
How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG
Shaohui Liu, Xien Liu, Ji Wu
The purpose of write-missing diagnosis detection is to find diseases that have been clearly diagnosed from medical records but are missed in the discharge diagnosis. Unlike the def…
Feature Forgetting in Continual Representation Learning
Xiao Zhang, Dejing Dou, Ji Wu
In continual and lifelong learning, good representation learning can help increase performance and reduce sample complexity when learning new tasks. There is evidence that represen…
Table-based Fact Verification with Self-adaptive Mixture of Experts
Yuxuan Zhou, Xien Liu, Kaiyin Zhou +1
The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem. It inherently requires informative reasoning over…
Measuring Information Transfer in Neural Networks
Xiao Zhang, Xingjian Li, Dejing Dou +1
Quantifying the information content in a neural network model is essentially estimating the model's Kolmogorov complexity. Recent success of prequential coding on neural networks p…
Label-guided Learning for Text Classification
Xien Liu, Song Wang, Xiao Zhang +3
Text classification is one of the most important and fundamental tasks in natural language processing. Performance of this task mainly dependents on text representation learning. C…