Visualizing and Understanding Neural Models in NLP

2 June 2015

Jiwei Li

Dan Jurafsky

Papers citing "Visualizing and Understanding Neural Models in NLP"

33 / 133 papers shown

Title
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 20 78 0 11 Sep 2018
An Operation Sequence Model for Explainable Neural Machine Translation Felix Stahlberg Danielle Saunders Bill Byrne LRM MILM 40 29 0 29 Aug 2018
Pyramidal Recurrent Unit for Language Modeling Sachin Mehta Rik Koncel-Kedziorski Mohammad Rastegari Hannaneh Hajishirzi 21 10 0 27 Aug 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 25 40 0 22 Jun 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction Lin Guo Hui Ye Wenbo Su He Liu Kai Sun Hang Xiang FAtt HAI 10 7 0 22 Jun 2018
LSTMs Exploit Linguistic Attributes of Data Nelson F. Liu Omer Levy Roy Schwartz Chenhao Tan Noah A. Smith 17 15 0 29 May 2018
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search J. Rao Wei Yang Yuhao Zhang Ferhan Ture Jimmy J. Lin 25 36 0 21 May 2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context Urvashi Khandelwal He He Peng Qi Dan Jurafsky RALM 16 294 0 12 May 2018
Polite Dialogue Generation Without Parallel Data Tong Niu Joey Tianyi Zhou OffRL MoMe 27 168 0 08 May 2018
Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens Marek Rei Anders Søgaard 22 53 0 06 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
IcoRating: A Deep-Learning System for Scam ICO Identification Shuqing Bian Zhenpeng Deng F. Li Will Monroe Peng Shi ... Sikuang Wang William Yang Wang Arianna Yuan Tianwei Zhang Jiwei Li 38 37 0 08 Mar 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 26 561 0 21 Feb 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 29 567 0 15 Feb 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure Dieuwke Hupkes Sara Veldhoen Willem H. Zuidema 24 274 0 28 Nov 2017
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network Chaoyun Zhang Xi Ouyang P. Patras 43 68 0 07 Nov 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 41 583 0 10 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 37 171 0 05 Mar 2017
Task-driven Visual Saliency and Attention-based Visual Question Answering Yuetan Lin Zhangyang Pang Donghui Wang Yueting Zhuang 35 26 0 22 Feb 2017
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 31 352 0 14 Dec 2016
What Do Recurrent Neural Network Grammars Learn About Syntax? Noah A. Smith Miguel Ballesteros Lingpeng Kong Chris Dyer Graham Neubig A. Kuncoro GNN 36 147 0 17 Nov 2016
End-to-End Neural Sentence Ordering Using Pointer Network Jingjing Gong Xinchi Chen Xipeng Qiu Xuanjing Huang 18 64 0 15 Nov 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 20 894 0 04 Nov 2016
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition Zhiyuan Tang Ying Shi Dong Wang Yang Feng Shiyue Zhang 22 53 0 28 Sep 2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations Trapit Bansal David Belanger Andrew McCallum 27 313 0 07 Sep 2016
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks Jack Lanchantin Ritambhara Singh Beilun Wang Yanjun Qi 16 126 0 12 Aug 2016
Neural Sentence Ordering Xinchi Chen Xipeng Qiu Xuanjing Huang 17 66 0 23 Jul 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks Hendrik Strobelt Sebastian Gehrmann Hanspeter Pfister Alexander M. Rush HAI 34 83 0 23 Jun 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 50 805 0 13 Jun 2016
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction Seunghyun Park Seonwoo Min Hyun-Soo Choi Sungroh Yoon 13 49 0 29 Apr 2016
Learning Global Features for Coreference Resolution Sam Wiseman Alexander M. Rush Stuart M. Shieber 21 195 0 11 Apr 2016
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała A. Alishahi 27 162 0 29 Feb 2016