research
∙
05/25/2023
Uncovering and Categorizing Social Biases in Text-to-SQL
Content Warning: This work contains examples that potentially implicate ...
share
research
∙
05/20/2023
Re-visiting Automated Topic Model Evaluation with Large Language Models
Topic models are used to make sense of large text collections. However, ...
research
∙
05/15/2023
Legal Extractive Summarization of U.S. Court Opinions
This paper tackles the task of legal extractive summarization using a da...
research
∙
12/20/2022
Human-Guided Fair Classification for Natural Language Processing
Text classifiers have promising applications in high-stake tasks such as...
research
∙
05/16/2022
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
This paper shows how to use large-scale pre-trained language models to e...
research
∙
02/15/2022
Media Slant is Contagious
This paper analyzes the influence of partisan content from national cabl...
research
∙
11/15/2021
The Choice of Knowledge Base in Automated Claim Checking
Automated claim checking is the task of determining the veracity of a cl...
research
∙
07/19/2021
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes
We introduce MemSum (Multi-step Episodic Markov decision process extract...
research
∙
05/09/2021
DocSCAN: Unsupervised Text Classification via Learning from Neighbors
We introduce DocSCAN, a completely unsupervised text classification appr...
research
∙
04/28/2021