Probing Classifiers: Promises, Shortcomings, and Advances

24 February 2021

Papers citing "Probing Classifiers: Promises, Shortcomings, and Advances"

21 / 71 papers shown

Title
Do Attention Heads in BERT Track Syntactic Dependencies? Phu Mon Htut Jason Phang Shikha Bordia Samuel R. Bowman 73 137 0 27 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation Models Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass MILM 80 72 0 01 Nov 2019
Designing and Interpreting Probes with Control Tasks John Hewitt Percy Liang 76 536 0 08 Sep 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 218 1,598 0 11 Jun 2019
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions David Marecek Rudolf Rosa 54 52 0 05 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 175 861 0 15 May 2019
Correlating neural and symbolic representations of language Grzegorz Chrupała Afra Alishahi NAI 35 72 0 14 May 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 130 733 0 21 Mar 2019
The emergence of number and syntax units in LSTM language models Yair Lakretz Germán Kruszewski T. Desbordes Dieuwke Hupkes S. Dehaene Marco Baroni 48 170 0 18 Mar 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 79 557 0 21 Dec 2018
Identifying and Controlling Important Neurons in Neural Machine Translation A. Bau Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass MILM 67 184 0 03 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information Mario Giulianelli J. Harding Florian Mohnert Dieuwke Hupkes Willem H. Zuidema 60 191 0 24 Aug 2018
Hierarchical Multitask Learning for CTC-based Speech Recognition Kalpesh Krishna Shubham Toshniwal Karen Livescu 47 44 0 17 Jul 2018
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 340 894 0 03 May 2018
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 63 165 0 23 Jan 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure Dieuwke Hupkes Sara Veldhoen Willem H. Zuidema 69 280 0 28 Nov 2017
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems Yonatan Belinkov James R. Glass 40 83 0 13 Sep 2017
What do Neural Machine Translation Models Learn about Morphology? Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass 103 414 0 11 Apr 2017
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 158 949 0 05 Oct 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks Yossi Adi Einat Kermany Yonatan Belinkov Ofer Lavi Yoav Goldberg 61 545 0 15 Aug 2016