What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?

14 July 2020

Papers citing "What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?"

9 / 9 papers shown

Title
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation Tianxing He Jingyu Zhang Tianle Wang Sachin Kumar Kyunghyun Cho James R. Glass Yulia Tsvetkov 45 44 0 20 Dec 2022
Can Language Representation Models Think in Bets? Zhi–Bin Tang Mayank Kejriwal 15 6 0 14 Oct 2022
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes Ke Shen Mayank Kejriwal 27 4 0 03 Oct 2022
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 39 2 0 09 Nov 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 43 0 24 Jul 2021
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 191 291 0 03 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 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 304 6,996 0 20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 713 0 17 Apr 2018