Exploring Transitivity in Neural NLI Models through Veridicality

26 January 2021

Papers citing "Exploring Transitivity in Neural NLI Models through Veridicality"

33 / 33 papers shown

Title
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation Najoung Kim Tal Linzen CoGe 24 276 0 12 Oct 2020
Probing Linguistic Systematicity Emily Goodwin Koustuv Sinha Timothy J. O'Donnell 106 58 0 08 May 2020
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? Hitomi Yanaka K. Mineshima D. Bekki Kentaro Inui NAI 26 51 0 30 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 49 177 0 24 Apr 2020
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering Akari Asai Hannaneh Hajishirzi NAI 50 111 0 21 Apr 2020
Transformers as Soft Reasoners over Language Peter Clark Oyvind Tafjord Kyle Richardson ReLM OffRL LRM 68 353 0 14 Feb 2020
Posing Fair Generalization Tasks for Natural Language Inference Atticus Geiger Ignacio Cases L. Karttunen Christopher Potts 25 48 0 03 Nov 2019
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets Ohad Rozen Vered Shwartz Roee Aharoni Ido Dagan AAML 41 38 0 21 Oct 2019
Probing Natural Language Inference Models through Semantic Fragments Kyle Richardson Hai Hu L. Moss Ashish Sabharwal 29 148 0 16 Sep 2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text Koustuv Sinha Shagun Sodhani Jin Dong Joelle Pineau William L. Hamilton 40 206 0 16 Aug 2019
Can neural networks understand monotonicity reasoning? Hitomi Yanaka K. Mineshima D. Bekki Kentaro Inui Satoshi Sekine Lasha Abzianidze Johan Bos LRM 41 80 0 15 Jun 2019
A Structured Learning Approach to Temporal Relation Extraction Qiang Ning Zhili Feng Dan Roth NAI 13 99 0 12 Jun 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension Alon Talmor Jonathan Berant 37 173 0 31 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 113 2,287 0 02 May 2019
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning Hitomi Yanaka K. Mineshima D. Bekki Kentaro Inui Satoshi Sekine Lasha Abzianidze Johan Bos 13 62 0 27 Apr 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets Nelson F. Liu Roy Schwartz Noah A. Smith AAML 38 106 0 04 Apr 2019
Linguistic generalization and compositionality in modern artificial neural networks Marco Baroni AI4CE 43 147 0 30 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 85 1,226 0 04 Feb 2019
Analyzing Compositionality-Sensitivity of NLI Models Yixin Nie Yicheng Wang Joey Tianyi Zhou CoGe 36 82 0 16 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 528 93,936 0 11 Oct 2018
Lexicosyntactic Inference in Neural Models Aaron Steven White Rachel Rudinger Kyle Rawlins Benjamin Van Durme 25 37 0 19 Aug 2018
On the Practical Computational Power of Finite Precision RNNs for Language Recognition Gail Weiss Yoav Goldberg Eran Yahav 46 263 0 13 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 57 365 0 06 May 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 214 579 0 02 May 2018
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment Masatoshi Tsuchiya 43 160 0 22 Apr 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 389 7,080 0 20 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 74 1,167 0 06 Mar 2018
Evaluating Compositionality in Sentence Embeddings Ishita Dasgupta Demi Guo Andreas Stuhlmuller S. Gershman Noah D. Goodman CoGe 43 121 0 12 Feb 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 291 4,444 0 18 Apr 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 62 898 0 04 Nov 2016
Ordinal Common-sense Inference Sheng Zhang Rachel Rudinger Kevin Duh Benjamin Van Durme LRM 33 121 0 02 Nov 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 151 4,256 0 21 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 196 149,474 0 22 Dec 2014