Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models

8 April 2020

Papers citing "Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models"

7 / 7 papers shown

Title
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? Neeraj Varshney Mihir Parmar Nisarg Patel Divij Handa Sayantan Sarkar Man Luo Chitta Baral LRM 34 4 0 20 May 2023
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition Asahi Ushio Jose Camacho-Collados 20 72 0 09 Sep 2022
What do we Really Know about State of the Art NER? Sowmya Vajjala Ramya Balasubramaniam 27 15 0 29 Apr 2022
Entity-Based Knowledge Conflicts in Question Answering Shayne Longpre Kartik Perisetla Anthony Chen Nikhil Ramesh Chris DuBois Sameer Singh HILM 245 239 0 10 Sep 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 42 0 24 Jul 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 0 25 Jan 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 86 21 0 01 Jan 2021