Search Results for author:
Found 3 papers, 0 papers with code
Low-resource Taxonomy Enrichment with Pretrained Language Models
Conventional supervised methods for this enrichment task fail to find optimal parents of new terms in low-resource settings where only small taxonomies are available because of overfitting to hierarchical relationships in the taxonomies.
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
Finally, based on these observations, we propose a method to mitigate overfitting to specific context quality by introducing bias to the cross-attention distribution, which we demonstrate to be effective in improving the performance of FiD models on different context quality.
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach
Finding joinable tables in data lakes is key procedure in many applications such as data integration, data augmentation, data analysis, and data market.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
