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TAE: Topic-aware encoder for large-scale multi-label text classification
Convolutional neural networks, recurrent neural networks, and transformers have excelled
in representation learning for large-scale multi-label text classification. However, there have …
in representation learning for large-scale multi-label text classification. However, there have …
A theoretical analysis of out-of-distribution detection in multi-label classification
The ability to detect out-of-distribution (OOD) inputs is essential for safely deploying machine
learning models in an open world. Most existing research on OOD detection, and more …
learning models in an open world. Most existing research on OOD detection, and more …
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence
Y Bai, Y Zhao, Z Han, H Gao, C Xue, M Hu - Proceedings of the 30th …, 2024 - dl.acm.org
Information extraction (IE) aims to extract meaningful structured tuples from unstructured text.
Existing studies usually utilize a pre-trained generative language model that rephrases the …
Existing studies usually utilize a pre-trained generative language model that rephrases the …
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification
Text classification is a pivotal task in natural language understanding, and its performance
has seen remarkable advancements with the rise of Pre-trained Language Models (PLMs) …
has seen remarkable advancements with the rise of Pre-trained Language Models (PLMs) …
Report on the 45th European Conference on Information Retrieval (ECIR 2023)
This paper reports on the 45th European Conference on Information Retrieval (ECIR 2023),
held in Dublin, Ireland, during April 2--6, 2023. The conference was the largest ECIR ever …
held in Dublin, Ireland, during April 2--6, 2023. The conference was the largest ECIR ever …
Enhancing code review for improved code quality with language model-driven approaches
S Rahman - 2024 - yorkspace.library.yorku.ca
Code review is essential for maintaining software development standards, yet achieving
effective reviews and issue resolution remains challenging. This thesis introduces …
effective reviews and issue resolution remains challenging. This thesis introduces …