A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension

2 June 2020

Papers citing "A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension"

7 / 7 papers shown

Title
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 373 6,469 0 26 Sep 2019
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations Betty van Aken B. Winter Alexander Loser Felix Alexander Gers 64 154 0 11 Sep 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 235 1,605 0 11 Jun 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 187 865 0 15 May 2019
BERT Rediscovers the Classical NLP Pipeline Ian Tenney Dipanjan Das Ellie Pavlick MILM SSeg 145 1,482 0 15 May 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks Matthew E. Peters Sebastian Ruder Noah A. Smith 84 437 0 14 Mar 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 353 897 0 03 May 2018