Training Classifiers with Natural Language Explanations

10 May 2018

Papers citing "Training Classifiers with Natural Language Explanations"

36 / 36 papers shown

Title
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 60 0 0 16 Jun 2024
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 30 2 0 18 Dec 2022
Fixing Model Bugs with Natural Language Patches Shikhar Murty Christopher D. Manning Scott M. Lundberg Marco Tulio Ribeiro KELM 32 37 0 07 Nov 2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection Jiyun Kim Byounghan Lee Kyung-ah Sohn 29 13 0 01 Nov 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction Rongzhi Zhang Rebecca West Xiquan Cui Chao Zhang 27 6 0 28 Jun 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 27 6 0 25 Apr 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations Rakesh R Menon Sayan Ghosh Shashank Srivastava LRM ELM 29 9 0 14 Apr 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning Rongzhi Zhang Yue Yu Pranav Shetty Le Song Chao Zhang 27 23 0 18 Mar 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie Ameet Deshpande Karthik R. Narasimhan VLM 36 2 0 26 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 416 8,650 0 28 Jan 2022
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 47 22 0 30 Nov 2021
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity Sheshera Mysore Arman Cohan Tom Hope 11 39 0 16 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
Open Rule Induction Wanyun Cui Xingran Chen AI4TS AI4CE 33 4 0 26 Oct 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health Andrew Lee Jonathan K. Kummerfeld Lawrence C. An Rada Mihalcea 38 24 0 28 Sep 2021
D-REX: Dialogue Relation Extraction with Explanations Alon Albalak Varun R. Embar Yi-Lin Tuan Lise Getoor Wei Wang 67 9 0 10 Sep 2021
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction Dong-Ho Lee Ravi Kiran Selvam Sheikh Muhammad Sarwar Bill Yuchen Lin Fred Morstatter Jay Pujara Elizabeth Boschee James Allan Xiang Ren 31 2 0 10 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration Gabriel Recchia 26 22 0 05 Sep 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 19 31 0 22 Jun 2021
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations Weixin Liang Kai-Hui Liang Zhou Yu 39 15 0 01 Jun 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 43 48 0 20 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 183 27,846 0 26 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 25 87 0 03 Feb 2021
LIREx: Augmenting Language Inference with Relevant Explanation Xinyan Zhao V. Vydiswaran LRM 28 37 0 16 Dec 2020
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking Willie Neiswanger Eric Xing A. Dubrawski NoLa OffRL 23 68 0 11 Dec 2020
Effective Distant Supervision for Temporal Relation Extraction Xinyu Zhao Shih-Ting Lin Greg Durrett 11 22 0 24 Oct 2020
Learning Rewards from Linguistic Feedback T. Sumers Mark K. Ho Robert D. Hawkins Karthik R. Narasimhan Thomas Griffiths 40 51 0 30 Sep 2020
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions Sara Evensen Chang Ge Dongjin Choi cCaugatay Demiralp 26 8 0 03 Sep 2020
Adaptive Rule Discovery for Labeling Text Data Sainyam Galhotra Behzad Golshan W. Tan AI4CE 6 18 0 13 May 2020
Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback Ahmed Elgohary Saghar Hosseini Ahmed Hassan Awadallah 21 67 0 05 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 21 34 0 02 May 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation Dong-Ho Lee Rahul Khanna Bill Yuchen Lin Jamin Chen Seyeon Lee Qinyuan Ye Elizabeth Boschee Leonardo Neves Xiang Ren 35 22 0 16 Apr 2020
LitGen: Genetic Literature Recommendation Guided by Human Explanations Allen Nie A. L. Pineda Matt W. Wright Hannah Wand Bryan Wulf Helio A. Costa Ronak Y Patel C. Bustamante James Zou LM&MA BDL 11 8 0 24 Sep 2019
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction Wenxuan Zhou Hongtao Lin Bill Yuchen Lin Ziqi Wang Junyi Du Leonardo Neves Xiang Ren NAI 19 54 0 05 Sep 2019
Learning to Denoise Distantly-Labeled Data for Entity Typing Yasumasa Onoe Greg Durrett 27 57 0 04 May 2019
Learning from Dialogue after Deployment: Feed Yourself, Chatbot! Braden Hancock Antoine Bordes Pierre-Emmanuel Mazaré Jason Weston 20 190 0 16 Jan 2019