Discovering Latent Concepts Learned in BERT

Discovering Latent Concepts Learned in BERT

15 May 2022

Firoj Alam

Papers citing "Discovering Latent Concepts Learned in BERT"

12 / 12 papers shown

Title
Is Free Self-Alignment Possible? Dyah Adila Changho Shin Yijing Zhang Frederic Sala MoMe 139 2 0 24 Feb 2025
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 54 83 0 30 Aug 2021
How transfer learning impacts linguistic knowledge in deep NLP models? Nadir Durrani Hassan Sajjad Fahim Dalvi 23 50 0 31 May 2021
Emergence of Separable Manifolds in Deep Language Representations Jonathan Mamou Hang Le Miguel Angel del Rio Cory Stephenson Hanlin Tang Yoon Kim SueYeon Chung AAML AI4CE 53 38 0 01 Jun 2020
Finding Experts in Transformer Models Xavier Suau Luca Zappella N. Apostoloff 33 31 0 15 May 2020
Similarity Analysis of Contextual Word Representation Models John M. Wu Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 68 75 0 03 May 2020
On the Linguistic Representational Power of Neural Machine Translation Models Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass MILM 54 72 0 01 Nov 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 523 2,639 0 03 Sep 2019
BERT Rediscovers the Classical NLP Pipeline Ian Tenney Dipanjan Das Ellie Pavlick MILM SSeg 100 1,458 0 15 May 2019
The emergence of number and syntax units in LSTM language models Yair Lakretz Germán Kruszewski T. Desbordes Dieuwke Hupkes S. Dehaene Marco Baroni 33 170 0 18 Mar 2019
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks Yonatan Belinkov Lluís Màrquez i Villodre Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 43 164 0 23 Jan 2018
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 529 31,406 0 16 Jan 2013