Search Results for author:
Found 7 papers, 0 papers with code
AMEX-AI-LABS: Investigating Transfer Learning for Title Detection in Table of Contents Generation
We present a transfer learning approach for Title Detection in FinToC 2020 challenge.
Evaluating Table Structure Recognition: A New Perspective
Existing metrics used to evaluate table structure recognition algorithms have shortcomings with regard to capturing text and empty cells alignment.
Learning Transferable Feature Representations Using Neural Networks
Generally it requires labeled data from the source and only unlabeled data from the target to learn such representations.
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification
In this paper, we propose that words that do not change their polarity and significance represent the transferable (usable) information across domains for cross-domain sentiment classification.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
