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Probing What Different NLP Tasks Teach Machines about Function Word
  Comprehension

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

25 April 2019
Najoung Kim
Roma Patel
Adam Poliak
Alex Jinpeng Wang
Patrick Xia
R. Thomas McCoy
Ian Tenney
Alexis Ross
Tal Linzen
Benjamin Van Durme
Samuel R. Bowman
Ellie Pavlick
ArXivPDFHTML

Papers citing "Probing What Different NLP Tasks Teach Machines about Function Word Comprehension"

27 / 27 papers shown
Title
Geospatial Mechanistic Interpretability of Large Language Models
Geospatial Mechanistic Interpretability of Large Language Models
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
AI4CE
37
0
0
06 May 2025
Evaluating Discourse Cohesion in Pre-trained Language Models
Jie He
Wanqiu Long
Deyi Xiong
ELM
71
2
0
08 Mar 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
73
1
0
07 Feb 2025
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language
  Models
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
Yuhui Zhang
Michihiro Yasunaga
Zhengping Zhou
Jeff Z. HaoChen
James Zou
Percy Liang
Serena Yeung
47
7
0
27 May 2023
(QA)$^2$: Question Answering with Questionable Assumptions
(QA)2^22: Question Answering with Questionable Assumptions
Najoung Kim
Phu Mon Htut
Sam Bowman
Jackson Petty
29
33
0
20 Dec 2022
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about
  Negation
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
Abhilasha Ravichander
Matt Gardner
Ana Marasović
33
34
0
01 Nov 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
242
45
0
24 May 2022
When a sentence does not introduce a discourse entity, Transformer-based
  models still sometimes refer to it
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
Sebastian Schuster
Tal Linzen
13
25
0
06 May 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU
  Benchmarks
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui
Daniel Hershcovich
Anders Søgaard
25
13
0
22 Apr 2022
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
Jakob Prange
Nathan Schneider
Lingpeng Kong
22
9
0
15 Dec 2021
Interpreting Language Models Through Knowledge Graph Extraction
Interpreting Language Models Through Knowledge Graph Extraction
Vinitra Swamy
Angelika Romanou
Martin Jaggi
28
20
0
16 Nov 2021
IndoNLI: A Natural Language Inference Dataset for Indonesian
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
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces
  with Pseudowords
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
Taelin Karidi
Yichu Zhou
Nathan Schneider
Omri Abend
Vivek Srikumar
86
13
0
23 Sep 2021
Trusting RoBERTa over BERT: Insights from CheckListing the Natural
  Language Inference Task
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task
Ishan Tarunesh
Somak Aditya
Monojit Choudhury
15
17
0
15 Jul 2021
A Closer Look at How Fine-tuning Changes BERT
A Closer Look at How Fine-tuning Changes BERT
Yichu Zhou
Vivek Srikumar
26
63
0
27 Jun 2021
Learning Slice-Aware Representations with Mixture of Attentions
Learning Slice-Aware Representations with Mixture of Attentions
Cheng Wang
Sungjin Lee
Sunghyun Park
Han Li
Young-Bum Kim
R. Sarikaya
29
2
0
04 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAI
AI4CE
38
11
0
02 Jun 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without Classifiers
Yichu Zhou
Vivek Srikumar
32
27
0
13 Apr 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
  Improving Models
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu
Marco Tulio Ribeiro
Jeffrey Heer
Daniel S. Weld
41
240
0
01 Jan 2021
Transferability of Natural Language Inference to Biomedical Question
  Answering
Transferability of Natural Language Inference to Biomedical Question Answering
Minbyul Jeong
Mujeen Sung
Gangwoo Kim
Donghyeon Kim
Wonjin Yoon
J. Yoo
Jaewoo Kang
19
37
0
01 Jul 2020
On the Robustness of Language Encoders against Grammatical Errors
On the Robustness of Language Encoders against Grammatical Errors
Fan Yin
Quanyu Long
Tao Meng
Kai-Wei Chang
31
34
0
12 May 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro
Tongshuang Wu
Carlos Guestrin
Sameer Singh
ELM
13
1,081
0
08 May 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation
  Extraction Task
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
19
151
0
30 Apr 2020
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
14
316
0
08 Nov 2019
Slice-based Learning: A Programming Model for Residual Learning in
  Critical Data Slices
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
V. Chen
Sen Wu
Zhenzhen Weng
Alexander Ratner
Christopher Ré
13
56
0
13 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
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