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Natural Language Understanding

678 directly classified papers

Papers per year

Papers

Learning to Follow Instructions in Text-Based Games NIPS 2022
What are the best Systems? New Perspectives on NLP Benchmarking NIPS 2022
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction NIPS 2022
iCompass Working Notes for the Nuanced Arabic Dialect Identification Shared task EMNLP 2022
Optimizing Naive Bayes for Arabic Dialect Identification EMNLP 2022
Coreference Annotation of an Arabic Corpus using a Virtual World Game EMNLP 2022
Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB) EMNLP 2022
Identifying Code-switching in Arabizi EMNLP 2022
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task EMNLP 2022
Probing Script Knowledge from Pre-Trained Models EMNLP 2022
Experiencer-Specific Emotion and Appraisal Prediction EMNLP 2022
Leveraging World Knowledge in Implicit Hate Speech Detection EMNLP 2022
Text Simplification for Legal Domain: Insights and Challenges EMNLP 2022
Numerical Correlation in Text EMNLP 2022
What Was Your Name Again? Interrogating Generative Conversational Models For Factual Consistency Evaluation EMNLP 2022
T5QL: Taming language models for SQL generation EMNLP 2022
Task-driven augmented data evaluation EMNLP 2022
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022
Euphemism Detection by Transformers and Relational Graph Attention Network EMNLP 2022
Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor EMNLP 2022
Detecting Euphemisms with Literal Descriptions and Visual Imagery EMNLP 2022
The Secret of Metaphor on Expressing Stronger Emotion EMNLP 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP EMNLP 2022
Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions EMNLP 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022