32 citations · 134 across the 15 of their papers we have counts for
15 papers
The Shared Task on Gender Rewriting
Bashar Alhafni, Nizar Habash, Houda Bouamor +11
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. T…
Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task
Mehmet Efruz Karabulut, K. Vijay-Shanker
Rapid growth of the biomedical literature has led to many advances in the biomedical text mining field. Among the vast amount of information, biomedical article abstracts are the e…
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models
Mehmet Efruz Karabulut, K. Vijay-Shanker, Yifan Peng
Identifying the relations between chemicals and proteins is an important text mining task. BioCreative VII track 1 DrugProt task aims to promote the development and evaluation of s…
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Peng Su, Yifan Peng, K. Vijay-Shanker
Contrastive learning has been used to learn a high-quality representation of the image in computer vision. However, contrastive learning is not widely utilized in natural language…
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
Peng Su, K. Vijay-Shanker
With the explosive growth of biomedical literature, designing automatic tools to extract information from the literature has great significance in biomedical research. Recently, tr…
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature
Peng Su, K. Vijay-Shanker
Adversarial training is a technique of improving model performance by involving adversarial examples in the training process. In this paper, we investigate adversarial training wit…