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Dialectograms: Machine Learning Differences between Discursive
  Communities

Dialectograms: Machine Learning Differences between Discursive Communities

11 February 2023
Thyge R Enggaard
August Lohse
M. Pedersen
Sune Lehmann
ArXiv (abs)PDFHTML

Papers citing "Dialectograms: Machine Learning Differences between Discursive Communities"

13 / 13 papers shown
Title
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg
Barbara McGillivray
Simon Hengchen
Haim Dubossarsky
Nina Tahmasebi
204
242
0
22 Jul 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
72
49
0
24 Mar 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
255
7,547
0
02 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
680
24,541
0
26 Jul 2019
Analytical Methods for Interpretable Ultradense Word Embeddings
Analytical Methods for Interpretable Ultradense Word Embeddings
Philipp Dufter
Hinrich Schütze
70
25
0
18 Apr 2019
Factors Influencing the Surprising Instability of Word Embeddings
Factors Influencing the Surprising Instability of Word Embeddings
Laura Burdick
Jonathan K. Kummerfeld
Rada Mihalcea
66
130
0
25 Apr 2018
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
71
965
0
22 Nov 2017
Quantifying and Reducing Stereotypes in Word Embeddings
Quantifying and Reducing Stereotypes in Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
49
58
0
20 Jun 2016
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
William L. Hamilton
J. Leskovec
Dan Jurafsky
109
923
0
30 May 2016
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora
Yuanzhi Li
Yingyu Liang
Tengyu Ma
Andrej Risteski
91
284
0
14 Jan 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
NAIOCL
402
33,565
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
101
1,597
0
17 Sep 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
686
31,544
0
16 Jan 2013
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