Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition

24 July 2021

Papers citing "Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition"

22 / 22 papers shown

Title
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning Simret Araya Gebreegziabher Kuangshi Ai Zheng Zhang Elena L. Glassman T. Li 27 4 0 07 Aug 2024
Knowledge Prompting: How Knowledge Engineers Use Large Language Models Elisavet Koutsiana Johanna Walker Michelle Nwachukwu Albert Meroño-Peñuela Elena Simperl 40 1 0 02 Aug 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems Abbas Ghaddar David Alfonso-Hermelo Philippe Langlais Mehdi Rezagholizadeh Boxing Chen Prasanna Parthasarathi 34 0 0 24 May 2024
Do "English" Named Entity Recognizers Work Well on Global Englishes? Alexander Shan John Bauer Riley Carlson Christopher D. Manning 25 2 0 20 Apr 2024
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 42 19 0 13 Jun 2023
DUMB: A Benchmark for Smart Evaluation of Dutch Models Wietse de Vries Martijn B. Wieling Malvina Nissim ELM ALM MoE 26 6 0 22 May 2023
Dynamic Named Entity Recognition Tristan Luiggi Laure Soulier Vincent Guigue Siwar Jendoubi Aurélien Baelde 26 0 0 16 Feb 2023
#maskUp: Selective Attribute Encryption for Sensitive Vocalization for English language on Social Media Platforms Supriti Vijay Aman Priyanshu 17 0 0 16 Nov 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario Hongxin Zhang Yanzhe Zhang Ruiyi Zhang Diyi Yang 30 13 0 19 Oct 2022
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples Hezekiah J. Branch Jonathan Rodriguez Cefalu Jeremy McHugh Leyla Hujer Aditya Bahl Daniel del Castillo Iglesias Ron Heichman Ramesh Darwishi ELM SILM AAML 11 48 0 05 Sep 2022
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts Supriti Vijay Aman Priyanshu CLL 27 5 0 28 Jun 2022
What do we Really Know about State of the Art NER? Sowmya Vajjala Ramya Balasubramaniam 11 15 0 29 Apr 2022
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 29 2 0 09 Nov 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation Md. Akmal Haidar Nithin Anchuri Mehdi Rezagholizadeh Abbas Ghaddar Philippe Langlais Pascal Poupart 27 22 0 21 Sep 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding Tianda Li Ahmad Rashid A. Jafari Pranav Sharma A. Ghodsi Mehdi Rezagholizadeh AAML 17 5 0 13 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 10 36 0 05 Sep 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 70 21 0 01 Jan 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing Ahmad Rashid Vasileios Lioutas Abbas Ghaddar Mehdi Rezagholizadeh 8 27 0 31 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 235 319 0 21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018