Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment

22 April 2018

Papers citing "Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment"

36 / 36 papers shown

Title
Pushing the boundary on Natural Language Inference Pablo Miralles-González Javier Huertas-Tato Alejandro Martín David Camacho LRM 44 0 0 25 Apr 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 18 0 0 24 Oct 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials Mael Jullien Marco Valentino André Freitas LM&MA 41 41 0 07 Apr 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals Yanai Elazar Bhargavi Paranjape Hao Peng Sarah Wiegreffe Khyathi Raghavi Vivek Srikumar Sameer Singh Noah A. Smith AAML OOD 31 0 0 16 Nov 2023
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference Lasha Abzianidze LRM XAI 13 0 0 15 Nov 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 49 51 0 26 Mar 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 24 7 0 14 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models Zeming Chen Qiyue Gao Antoine Bosselut Ashish Sabharwal Kyle Richardson 29 25 0 20 Dec 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning Oscar Sainz Itziar Gonzalez-Dios Oier López de Lacalle Bonan Min Eneko Agirre 23 49 0 03 May 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 55 211 0 16 Jan 2022
IndoNLI: A Natural Language Inference Dataset for Indonesian Rahmad Mahendra Alham Fikri Aji Samuel Louvan Fahrurrozi Rahman Clara Vania 26 29 0 27 Oct 2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models Peter West Chandrasekhar Bhagavatula Jack Hessel Jena D. Hwang Liwei Jiang Ronan Le Bras Ximing Lu Sean Welleck Yejin Choi SyDa 39 320 0 14 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 61 35 0 09 Sep 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference Wenpeng Yin Dragomir R. Radev Caiming Xiong HILM 26 97 0 17 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics Hitomi Yanaka K. Mineshima Kentaro Inui NAI AI4CE 38 11 0 02 Jun 2021
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema Yanai Elazar Hongming Zhang Yoav Goldberg Dan Roth ReLM LRM 39 44 0 16 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little Koustuv Sinha Robin Jia Dieuwke Hupkes J. Pineau Adina Williams Douwe Kiela 45 243 0 14 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 30 156 0 05 Apr 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 174 46 0 24 Oct 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data William Huang Haokun Liu Samuel R. Bowman 16 37 0 09 Oct 2020
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations Mostafa Abdou Vinit Ravishankar Maria Barrett Yonatan Belinkov Desmond Elliott Anders Søgaard ReLM LRM 62 34 0 04 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 43 23 0 05 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets Ohad Rozen Vered Shwartz Roee Aharoni Ido Dagan AAML 19 37 0 21 Oct 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 37 69 0 09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 21 94 0 09 Jul 2019
Can neural networks understand monotonicity reasoning? Hitomi Yanaka K. Mineshima D. Bekki Kentaro Inui Satoshi Sekine Lasha Abzianidze Johan Bos LRM 22 80 0 15 Jun 2019
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks Aarne Talman S. Chatzikyriakidis ELM 11 48 0 23 Oct 2018
XNLI: Evaluating Cross-lingual Sentence Representations Alexis Conneau Guillaume Lample Ruty Rinott Adina Williams Samuel R. Bowman Holger Schwenk Veselin Stoyanov ELM 23 1,344 0 13 Sep 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 207 1,367 0 06 Jun 2016