ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.02339
  4. Cited By
We Don't Speak the Same Language: Interpreting Polarization through
  Machine Translation

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

5 October 2020
Ashiqur R. KhudaBukhsh
Rupak Sarkar
M. Kamlet
Tom Michael Mitchell
ArXivPDFHTML

Papers citing "We Don't Speak the Same Language: Interpreting Polarization through Machine Translation"

13 / 13 papers shown
Title
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
Patrick Y. Wu
Jonathan Nagler
Joshua A. Tucker
Solomon Messing
LRM
95
3
0
18 Oct 2023
Black is to Criminal as Caucasian is to Police: Detecting and Removing
  Multiclass Bias in Word Embeddings
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini
Y. Lim
Yulia Tsvetkov
A. Black
FaML
83
307
0
03 Apr 2019
Analyzing Polarization in Social Media: Method and Application to Tweets
  on 21 Mass Shootings
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Dorottya Demszky
Nikhil Garg
Rob Voigt
James Zou
M. Gentzkow
Jesse M. Shapiro
Dan Jurafsky
54
166
0
02 Apr 2019
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
69
963
0
22 Nov 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
287
1,657
0
11 Oct 2017
Offline bilingual word vectors, orthogonal transformations and the
  inverted softmax
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith
David H. P. Turban
Steven Hamblin
Nils Y. Hammerla
OffRL
66
536
0
13 Feb 2017
Demographic Dialectal Variation in Social Media: A Case Study of
  African-American English
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett
Lisa Green
Brendan O'Connor
89
354
0
31 Aug 2016
Semantics derived automatically from language corpora contain human-like
  biases
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
213
2,667
0
25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
110
3,135
0
21 Jul 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
229
9,966
0
15 Jul 2016
Massively Multilingual Word Embeddings
Massively Multilingual Word Embeddings
Bridger Waleed Ammar
George Mulcaire
Yulia Tsvetkov
Guillaume Lample
Chris Dyer
Noah A. Smith
95
271
0
05 Feb 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
394
33,521
0
16 Oct 2013
Exploiting Similarities among Languages for Machine Translation
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov
Quoc V. Le
Ilya Sutskever
94
1,596
0
17 Sep 2013
1