← Core AI
Artificial Intelligence › Core AI ›

Natural Language Processing

2127 directly classified papers

Papers per year

Papers

Detecting Dissonant Stance in Social Media: The Role of Topic Exposure EMNLP 2022
An Analysis of Acknowledgments in NLP Conference Proceedings EMNLP 2022
Parallel Corpus Filtering for Japanese Text Simplification EMNLP 2022
IIGROUP Submissions for WMT22 Word-Level AutoCompletion Task EMNLP 2022
A unified framework for cross-domain and cross-task learning of mental health conditions EMNLP 2022
Examining Political Rhetoric with Epistemic Stance Detection EMNLP 2022
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset EMNLP 2022
Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models EMNLP 2022
Unsupervised Token-level Hallucination Detection from Summary Generation By-products EMNLP 2022
A Corpus and Evaluation for Predicting Semi-Structured Human Annotations EMNLP 2022
FinSim4-ESG Shared Task: Learning Semantic Similarities for the Financial Domain. Extended edition to ESG insights EMNLP 2022
Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification EMNLP 2022
T5QL: Taming language models for SQL generation EMNLP 2022
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations EMNLP 2022
Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation EMNLP 2022
A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts EMNLP 2022
Transformers on Multilingual Clause-Level Morphology EMNLP 2022
NLP@UIT at FigLang-EMNLP 2022: A Divide-and-Conquer System For Shared Task On Understanding Figurative Language EMNLP 2022
Adversarial Perturbations Augmented Language Models for Euphemism Identification EMNLP 2022
CC-Top: Constrained Clustering for Dynamic Topic Discovery EMNLP 2022
SBU Figures It Out: Models Explain Figurative Language EMNLP 2022
On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? EMNLP 2022
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy EMNLP 2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC EMNLP 2022