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Lawyers are Dishonest? Quantifying Representational Harms in Commonsense
  Knowledge Resources
v1v2 (latest)

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources

21 March 2021
Ninareh Mehrabi
Pei Zhou
Fred Morstatter
Jay Pujara
Xiang Ren
Aram Galstyan
    AILaw
ArXiv (abs)PDFHTML

Papers citing "Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources"

20 / 20 papers shown
Title
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
Xuanming Zhang
Yuxuan Chen
Min-Hsuan Yeh
Yixuan Li
LLMAGAI4CE
52
0
0
25 May 2025
GD-COMET: A Geo-Diverse Commonsense Inference Model
GD-COMET: A Geo-Diverse Commonsense Inference Model
Mehar Bhatia
Vered Shwartz
71
6
0
23 Oct 2023
Graph Reasoning for Question Answering with Triplet Retrieval
Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li
Yifan Gao
Hao Jiang
Qingyu Yin
Zheng Li
Xifeng Yan
Chao Zhang
Bing Yin
RALMReLM
93
35
0
30 May 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language Understanding
Saku Sugawara
S. Tsugita
ELM
79
1
0
24 May 2023
Preconditioned Visual Language Inference with Weak Supervision
Preconditioned Visual Language Inference with Weak Supervision
Ehsan Qasemi
Amani Maina-Kilaas
Devadutta Dash
Khalid Alsaggaf
Muhao Chen
83
0
0
22 May 2023
Similarity-weighted Construction of Contextualized Commonsense Knowledge
  Graphs for Knowledge-intense Argumentation Tasks
Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks
Moritz Plenz
Juri Opitz
Philipp Heinisch
Philipp Cimiano
Anette Frank
95
9
0
15 May 2023
Deep Bidirectional Language-Knowledge Graph Pretraining
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga
Antoine Bosselut
Hongyu Ren
Xikun Zhang
Christopher D. Manning
Percy Liang
J. Leskovec
101
204
0
17 Oct 2022
Do Children Texts Hold The Key To Commonsense Knowledge?
Do Children Texts Hold The Key To Commonsense Knowledge?
Julien Romero
Simon Razniewski
46
2
0
10 Oct 2022
KALM: Knowledge-Aware Integration of Local, Document, and Global
  Contexts for Long Document Understanding
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
Shangbin Feng
Zhaoxuan Tan
Wenqian Zhang
Zhenyu Lei
Yulia Tsvetkov
KELMVLM
106
10
0
08 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft
Ricardo Usbeck
KELM
79
9
0
07 Oct 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLMLRM
87
8
0
16 Jun 2022
Target-Guided Dialogue Response Generation Using Commonsense and Data
  Augmentation
Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation
Prakhar Gupta
Harsh Jhamtani
Jeffrey P. Bigham
113
12
0
19 May 2022
GreaseLM: Graph REASoning Enhanced Language Models for Question
  Answering
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Xikun Zhang
Antoine Bosselut
Michihiro Yasunaga
Hongyu Ren
Percy Liang
Christopher D. Manning
J. Leskovec
ReLMAI4MHLRM
106
231
0
21 Jan 2022
Refined Commonsense Knowledge from Large-Scale Web Contents
Refined Commonsense Knowledge from Large-Scale Web Contents
Shrestha Ghosh
Simon Razniewski
Julien Romero
Gerhard Weikum
86
32
0
30 Nov 2021
Think Before You Speak: Explicitly Generating Implicit Commonsense
  Knowledge for Response Generation
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation
Pei Zhou
Karthik Gopalakrishnan
Behnam Hedayatnia
Seokhwan Kim
Jay Pujara
Xiang Ren
Yang Liu
Dilek Z. Hakkani-Tür
100
41
0
16 Oct 2021
Commonsense-Focused Dialogues for Response Generation: An Empirical
  Study
Commonsense-Focused Dialogues for Response Generation: An Empirical Study
Pei Zhou
Karthik Gopalakrishnan
Behnam Hedayatnia
Seokhwan Kim
Jay Pujara
Xiang Ren
Yang Liu
Dilek Z. Hakkani-Tür
LRM
71
47
0
14 Sep 2021
On Measures of Biases and Harms in NLP
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
85
88
0
07 Aug 2021
Probing Commonsense Explanation in Dialogue Response Generation
Probing Commonsense Explanation in Dialogue Response Generation
Pei Zhou
Pegah Jandaghi
Bill Yuchen Lin
Justin Cho
Jay Pujara
Xiang Ren
LRM
157
17
0
19 Apr 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Daniel E. Ho
Jay Pujara
Xiang Ren
ReLM
120
37
0
02 May 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDaFaML
603
4,424
0
23 Aug 2019
1