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. 2009.10277
  4. Cited By
Constructing interval variables via faceted Rasch measurement and
  multitask deep learning: a hate speech application

Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

22 September 2020
Chris J. Kennedy
Geoff Bacon
A. Sahn
Claudia von Vacano
ArXivPDFHTML

Papers citing "Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application"

16 / 16 papers shown
Title
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
Urja Khurana
Eric T. Nalisnick
Antske Fokkens
48
1
0
21 Oct 2024
Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for
  Political Text
Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text
Michael Burnham
Kayla Kahn
Ryan Yank Wang
Rachel X. Peng
34
5
0
03 Sep 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
48
4
0
27 May 2024
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
Manuel Tonneau
Diyi Liu
Samuel Fraiberger
Ralph Schroeder
Scott A. Hale
Paul Röttger
37
5
0
27 Apr 2024
Towards Interpretable Hate Speech Detection using Large Language
  Model-extracted Rationales
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
Ayushi Nirmal
Amrita Bhattacharjee
Paras Sheth
Huan Liu
AAML
43
11
0
19 Mar 2024
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model
  for online comments
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments
Neeraj Kumar Singh
Koyel Ghosh
Joy Mahapatra
Utpal Garain
Apurbalal Senapati
11
0
0
20 Dec 2023
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical
  Evaluation
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
Dimosthenis Antypas
Jose Camacho-Collados
51
23
0
04 Jul 2023
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for
  Sexism Detection and Classification
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
K. Chernyshev
E. Garanina
Duygu Bayram
Qiankun Zheng
Lukas Edman
11
0
0
08 Jun 2023
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental
  Fine-Tuning and Multi-Task Learning with Label Descriptions
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions
Janis Goldzycher
18
1
0
06 Jun 2023
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
97
0
04 Nov 2022
How Hate Speech Varies by Target Identity: A Computational Analysis
How Hate Speech Varies by Target Identity: A Computational Analysis
Michael Miller Yoder
Lynnette Hui Xian Ng
D. W. Brown
Kathleen M. Carley
30
20
0
19 Oct 2022
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal
  Understanding of the Pandemic with Social Media Conversations
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
Shayan Fazeli
D. Zamanzadeh
Anaelia Ovalle
Thu-Anh Nguyen
Gilbert Gee
Majid Sarrafzadeh
28
1
0
22 Apr 2021
Detoxifying Language Models Risks Marginalizing Minority Voices
Detoxifying Language Models Risks Marginalizing Minority Voices
Albert Xu
Eshaan Pathak
Eric Wallace
Suchin Gururangan
Maarten Sap
Dan Klein
24
121
0
13 Apr 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
An All-In-One Convolutional Neural Network for Face Analysis
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan
S. Sankaranarayanan
Carlos D. Castillo
Rama Chellappa
CVBM
138
428
0
03 Nov 2016
Automating biomedical data science through tree-based pipeline
  optimization
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson
Ryan J. Urbanowicz
Peter C. Andrews
Nicole A. Lavender
L. C. Kidd
J. Moore
AI4CE
33
311
0
28 Jan 2016
1