Search Results for author: K. Vijay-Shanker

Found 13 papers, 2 papers with code

The Shared Task on Gender Rewriting

no code implementations22 Oct 2022 Bashar Alhafni, Nizar Habash, Houda Bouamor, Ossama Obeid, Sultan Alrowili, Daliyah AlZeer, Khawlah M. Alshanqiti, Ahmed ElBakry, Muhammad ElNokrashy, Mohamed Gabr, Abderrahmane Issam, Abdelrahim Qaddoumi, K. Vijay-Shanker, Mahmoud Zyate

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.


CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models

1 code implementation11 Nov 2021 Mehmet Efruz Karabulut, K. Vijay-Shanker, Yifan Peng

Our system obtained 0. 7708 in precision and 0. 7770 in recall, for an F1 score of 0. 7739, demonstrating the effectiveness of using ensembles of BERT-based language models for automatically detecting relations between chemicals and proteins.


Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction

1 code implementation NAACL (BioNLP) 2021 Peng Su, Yifan Peng, K. Vijay-Shanker

In this work, we explore the method of employing contrastive learning to improve the text representation from the BERT model for relation extraction.

Contrastive Learning Data Augmentation +2

Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism

no code implementations1 Nov 2020 Peng Su, K. Vijay-Shanker

In this paper, we will investigate the method of utilizing the entire layer in the fine-tuning process of BERT model.

Relation Relation Classification

Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature

no code implementations8 May 2020 Peng Su, K. Vijay-Shanker

Adversarial training is a technique of improving model performance by involving adversarial examples in the training process.

Benchmarking Relation +1

Identifying Comparative Structures in Biomedical Text

no code implementations WS 2017 Samir Gupta, A.S.M. Ashique Mahmood, Karen Ross, Cathy Wu, K. Vijay-Shanker

Comparison sentences are very commonly used by authors in biomedical literature to report results of experiments.


Rapid Adaptation of POS Tagging for Domain Specific Uses

no code implementations31 Oct 2014 John E. Miller, Michael Bloodgood, Manabu Torii, K. Vijay-Shanker

Part-of-speech (POS) tagging is a fundamental component for performing natural language tasks such as parsing, information extraction, and question answering.

Part-Of-Speech Tagging POS +2

A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping

no code implementations17 Sep 2014 Michael Bloodgood, K. Vijay-Shanker

A survey of existing methods for stopping active learning (AL) reveals the needs for methods that are: more widely applicable; more aggressive in saving annotations; and more stable across changing datasets.

Active Learning

An Approach to Reducing Annotation Costs for BioNLP

no code implementations12 Sep 2014 Michael Bloodgood, K. Vijay-Shanker

There is a broad range of BioNLP tasks for which active learning (AL) can significantly reduce annotation costs and a specific AL algorithm we have developed is particularly effective in reducing annotation costs for these tasks.

Active Learning Binary Classification +1

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