Latent Feature-based Data Splits to Improve Generalisation Evaluation: A
Hate Speech Detection Case Study

Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study

16 November 2023

Verna Dankers

Papers citing "Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study"

8 / 8 papers shown

Title
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 95 101 0 04 Oct 2021
Sequence Length is a Domain: Length-based Overfitting in Transformer Models Dusan Varis Ondrej Bojar 49 57 0 15 Sep 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech Mai Elsherief Caleb Ziems D. Muchlinski Vaishnavi Anupindi Jordyn Seybolt M. D. Choudhury Diyi Yang 94 236 0 11 Sep 2021
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey Marten van Schijndel 213 110 0 09 Sep 2021
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation Aparna Elangovan Jiayuan He Karin Verspoor TDI FedML 164 89 0 03 Feb 2021
Topic Modeling with Contextualized Word Representation Clusters Laure Thompson David M. Mimno 107 83 0 23 Oct 2020
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 6,956 0 20 Apr 2018