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Papers
Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation
NAACL 2025
Revisiting Common Assumptions about Arabic Dialects in NLP
ACL 2025
Towards a Perspectivist Turn in Argument Quality Assessment
NAACL 2025
An Analysis of Tasks and Datasets in Peer Reviewing
ACL 2024
Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards
EMNLP 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
EMNLP 2024
Understanding Bias in Large-Scale Visual Datasets
NeurIPS 2024
A Survey on Asking Clarification Questions Datasets in Conversational Systems
ACL 2023
On the Underspecification of Situations in Open-domain Conversational Datasets
ACL 2023
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation
EMNLP 2023
Narrative Why-Question Answering: A Review of Challenges and Datasets
EMNLP 2022
Text Characterization Toolkit (TCT)
AACL 2022
Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets
EMNLP 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
ICML 2021
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
AAAI 2020
Humans Meet Models on Object Naming: A New Dataset and Analysis
COLING 2020
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets
EMNLP 2020
Interpretable Multi-dataset Evaluation for Named Entity Recognition
EMNLP 2020
A Closer Look at Data Bias in Neural Extractive Summarization Models
EMNLP 2019
Neural Text Summarization: A Critical Evaluation
EMNLP 2019
What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets
Interspeech 2018
Analyzing Computer Vision Data - The Good, the Bad and the Ugly
CVPR 2017
An Analysis of Action Recognition Datasets for Language and Vision Tasks
ACL 2017
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?
ICCV 2013