Evaluating Compositionality in Sentence Embeddings

12 February 2018

Papers citing "Evaluating Compositionality in Sentence Embeddings"

34 / 34 papers shown

Title
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More O. Kitouni Niklas Nolte Diane Bouchacourt Adina Williams Mike Rabbat Mark Ibrahim LRM CLL 54 12 0 07 Jun 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models Erik Arakelyan Zhaoqi Liu Isabelle Augenstein AAML 45 10 0 25 Jan 2024
Compositional Fusion of Signals in Data Embedding Zhijin Guo Zhaozhen Xu Martha Lewis N. Cristianini 19 0 0 18 Nov 2023
Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs Ines Reinig K. Markert 27 0 0 07 Jun 2023
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 32 10 0 11 Dec 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 30 181 0 14 Jul 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language Rita Sevastjanova Mennatallah El-Assady LRM 35 9 0 14 Jul 2022
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo Yiran Luo Pratyay Banerjee Tejas Gokhale Yezhou Yang Chitta Baral 27 4 0 30 Mar 2022
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 63 35 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 34 36 0 05 Sep 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 42 0 24 Jul 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
Exploring Transitivity in Neural NLI Models through Veridicality Hitomi Yanaka K. Mineshima Kentaro Inui 19 23 0 26 Jan 2021
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan Cohen Nathaniel D. Daw Thomas Griffiths OffRL 22 3 0 05 Oct 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 24 184 0 14 Jul 2020
Logical Inferences with Comparatives and Generalized Quantifiers Izumi Haruta K. Mineshima D. Bekki ELM 27 11 0 16 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
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 30 175 0 24 Apr 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 45 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
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly Nora Kassner Hinrich Schütze 17 316 0 08 Nov 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever Pride Kavumba Naoya Inoue Benjamin Heinzerling Keshav Singh Paul Reisert Kentaro Inui 18 50 0 01 Nov 2019
SesameBERT: Attention for Anywhere Ta-Chun Su Hsiang-Chih Cheng 33 7 0 08 Oct 2019
Compositional Generalization in Image Captioning Mitja Nikolaus Mostafa Abdou Matthew Lamm Rahul Aralikatte Desmond Elliott CoGe 27 49 0 10 Sep 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 32 196 0 12 Jun 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 91 848 0 15 May 2019
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension Najoung Kim Roma Patel Adam Poliak Alex Jinpeng Wang Patrick Xia ... Alexis Ross Tal Linzen Benjamin Van Durme Samuel R. Bowman Ellie Pavlick 28 105 0 25 Apr 2019
Probing Biomedical Embeddings from Language Models Qiao Jin Bhuwan Dhingra William W. Cohen Xinghua Lu 24 116 0 03 Apr 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 69 1,214 0 04 Feb 2019
RNNs Implicitly Implement Tensor Product Representations R. Thomas McCoy Tal Linzen Ewan Dunbar P. Smolensky 49 54 0 20 Dec 2018
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 287 623 0 04 Dec 2018
Analyzing Compositionality-Sensitivity of NLI Models Yixin Nie Yicheng Wang Joey Tianyi Zhou CoGe 24 82 0 16 Nov 2018
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 20 78 0 11 Sep 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 38 1,160 0 06 Mar 2018