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h5 指数:26
h5 中位数:42

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#19 Computational Linguistics

标题/作者	引用次数	年份
What Does BERT Look at? An Analysis of BERT's Attention. K Clark, U Khandelwal, O Levy, CD Manning [email protected] ACL, 276-286	1234	2019
Open Sesame: Getting inside BERT's Linguistic Knowledge. Y Lin, YC Tan, R Frank [email protected] ACL, 241-253	232	2019
Analyzing the Structure of Attention in a Transformer Language Model. J Vig, Y Belinkov [email protected] ACL, 63-76	227	2019
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? J Bastings, K Filippova Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	130	2020
What Happens To BERT Embeddings During Fine-tuning? A Merchant, E Rahimtoroghi, E Pavlick, I Tenney Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	117	2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance RT McCoy, J Min, T Linzen Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	115	2020
Faithful Multimodal Explanation for Visual Question Answering. J Wu, RJ Mooney [email protected] ACL, 103-112	74	2019
Evaluating Recurrent Neural Network Explanations. L Arras, A Osman, KR Müller, W Samek [email protected] ACL, 113-126	74	2019
Can Neural Networks Understand Monotonicity Reasoning? H Yanaka, K Mineshima, D Bekki, K Inui, S Sekine, L Abzianidze, J Bos [email protected] ACL, 31-40	59	2019
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. S Abnar, L Beinborn, R Choenni, WH Zuidema [email protected] ACL, 191-203	57	2019
Do Language Embeddings capture Scales? X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	55	2020
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation A Geiger, K Richardson, C Potts Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	45	2020
How does BERT capture semantics? A closer look at polysemous words D Yenicelik, F Schmidt, Y Kilcher Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	43	2020
Testing the Generalization Power of Neural Network Models across NLI Benchmarks. A Talman, S Chatzikyriakidis [email protected] ACL, 85-94	42	2019
Do Human Rationales Improve Machine Explanations? J Strout, Y Zhang, RJ Mooney [email protected] ACL, 56-62	42	2019
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. D Marecek, R Rosa [email protected] ACL, 263-275	41	2019
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations. E Wilcox, R Levy, R Futrell [email protected] ACL, 181-190	38	2019
Detecting Political Bias in News Articles Using Headline Attention. RRR Gangula, SR Duggenpudi, R Mamidi [email protected] ACL, 77-84	37	2019
The Explanation Game: Towards Prediction Explainability through Sparse Communication M Treviso, AFT Martins Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	33	2020
BERTnesia: Investigating the capture and forgetting of knowledge in BERT J Wallat, J Singh, A Anand Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …	33	2020

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