Search Results for author:
Found 7 papers, 2 papers with code
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations
In real dialogue scenarios, the existing slot filling model, which tends to memorize entity patterns, has a significantly reduced generalization facing Out-of-Vocabulary (OOV) problems.
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition
Specifically, we decouple class-specific prototypes and contextual semantic prototypes by two masking strategies to lead the model to focus on two different semantic information for inference.
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
Our findings indicate that the learned structural patterns of proteins can be transferred to RNAs, opening up potential new avenues for research.
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Most existing slot filling models tend to memorize inherent patterns of entities and corresponding contexts from training data.
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
This tether-net system is subject to several sources of uncertainty in sensing and actuation that affect the performance of its net launch and closing control.
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
With the rapid increase in the amount of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language.
Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
The thermal data is processed through a thresholding and Kalman filter approach to detect and track the bounding box.
