04.12.2023
![Teaser image to MCML at EMNLP 2023](/images/conferences/emnlp23.jpg)
MCML at EMNLP 2023
Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore, December 06-12, 2023
We are happy to announce that MCML researchers are represented with 16 papers at EMNLP 2023:
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
DOI.
Automatic transcription of handwritten Old Occitan language.
DOI.
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
DOI.
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages.
DOI.
GlotLID: Language Identification for Low-Resource Languages.
DOI.
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.
DOI.
Language-Agnostic Bias Detection in Language Models with Bias Probing.
DOI.
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
DOI.
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
DOI.
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
DOI.
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
DOI.
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.
DOI.
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
DOI.
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
DOI.
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
DOI.
04.12.2023
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