Making Document-Level Information Extraction Right for the Right Reasons

14 October 2021

Papers citing "Making Document-Level Information Extraction Right for the Right Reasons"

37 / 37 papers shown

Title
Evaluating Explanations: How much do explanations from the teacher aid students? Danish Pruthi Rachit Bansal Bhuwan Dhingra Livio Baldini Soares Michael Collins Zachary Chase Lipton Graham Neubig William W. Cohen FAtt XAI 42 109 0 01 Dec 2020
Denoising Relation Extraction from Document-level Distant Supervision Chaojun Xiao Yuan Yao Ruobing Xie Xu Han Zhiyuan Liu Maosong Sun Fen Lin Leyu Lin 55 39 0 08 Nov 2020
Weakly- and Semi-supervised Evidence Extraction Danish Pruthi Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 41 23 0 03 Nov 2020
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling Wenxuan Zhou Kevin Huang Tengyu Ma Jing Huang 52 275 0 21 Oct 2020
Weakly Supervised Medication Regimen Extraction from Medical Conversations Dhruvesh Patel Sandeep Konam Sai P. Selvaraj MedIm 16 9 0 11 Oct 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 47 32 0 26 Jun 2020
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction Guoshun Nan Zhijiang Guo Ivan Sekulić Wei Lu 62 274 0 13 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 48 100 0 01 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 59 162 0 30 Apr 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks Suchin Gururangan Ana Marasović Swabha Swayamdipta Kyle Lo Iz Beltagy Doug Downey Noah A. Smith VLM AI4CE CLL 101 2,398 0 23 Apr 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT Akshay Smit Saahil Jain Pranav Rajpurkar Anuj Pareek A. Ng M. Lungren MedIm 30 329 0 20 Apr 2020
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction Christoph Alt Aleksandra Gabryszak Leonhard Hennig NAI 30 34 0 17 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 72 588 0 07 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction Xu Han Tianyu Gao Yankai Lin Hao Peng Yaoliang Yang Chaojun Xiao Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 50 133 0 07 Apr 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 83 632 0 08 Nov 2019
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs Fenia Christopoulou Makoto Miwa Sophia Ananiadou 32 186 0 31 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 408 24,160 0 26 Jul 2019
DocRED: A Large-Scale Document-Level Relation Extraction Dataset Yuan Yao Deming Ye Peng Li Xu Han Yankai Lin Zhenghao Liu Zhiyuan Liu Lixin Huang Jie Zhou Maosong Sun 40 453 0 14 Jun 2019
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 35 57 0 31 May 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 87 1,307 0 26 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 89 2,568 0 21 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 966 93,936 0 11 Oct 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning Pengda Qin Weiran Xu William Yang Wang 36 219 0 24 May 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 58 317 0 20 Apr 2018
Cross-Sentence N-ary Relation Extraction with Graph LSTMs Nanyun Peng Hoifung Poon Chris Quirk Kristina Toutanova Wen-tau Yih 49 509 0 12 Aug 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 222 4,229 0 22 Jun 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 123 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 122 5,920 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 348 3,742 0 28 Feb 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 74 562 0 24 Dec 2016
Interpretation of Prediction Models Using the Input Gradient Yotam Hechtlinger FaML AI4CE FAtt 33 85 0 23 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 216 19,796 0 07 Oct 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 87 809 0 13 Jun 2016
Rationale-Augmented Convolutional Neural Networks for Text Classification Ye Zhang Iain J. Marshall Byron C. Wallace 48 160 0 14 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 587 16,828 0 16 Feb 2016
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 390 27,205 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013