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06/03/2022
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages
For high-resource languages like English, text classification is a well-...
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05/15/2022
Meta Self-Refinement for Robust Learning with Weak Supervision
Training deep neural networks (DNNs) with weak supervision has been a ho...
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04/22/2022
MCSE: Multimodal Contrastive Learning of Sentence Embeddings
Learning semantically meaningful sentence embeddings is an open problem ...
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04/20/2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
Incorrect labels in training data occur when human annotators make mista...
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07/08/2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning...
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02/25/2021
ANEA: Distant Supervision for Low-Resource Named Entity Recognition
Distant supervision allows obtaining labeled training corpora for low-re...
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01/24/2021
Analysing the Noise Model Error for Realistic Noisy Label Data
Distant and weak supervision allow to obtain large amounts of labeled tr...
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10/23/2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Current developments in natural language processing offer challenges and...
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10/07/2020
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Multilingual transformer models like mBERT and XLM-RoBERTa have obtained...
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10/06/2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
Fine-tuning pre-trained contextualized embedding models has become an in...
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06/09/2020
Learning Functions to Study the Benefit of Multitask Learning
We study and quantify the generalization patterns of multitask learning ...
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03/18/2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
The lack of labeled training data has limited the development of natural...
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10/14/2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
In low-resource settings, the performance of supervised labeling models ...
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04/02/2019
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Popular word embedding methods such as word2vec and GloVe assign a singl...
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03/28/2019
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
In this paper, we address the problem of effectively self-training neura...
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07/02/2018
