MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
Cross-lingual named entity recognition (CrossNER) faces challenges stemming from
uneven performance due to the scarcity of multilingual corpora, especially for non-English …
uneven performance due to the scarcity of multilingual corpora, especially for non-English …
PMAES: Prompt-map** contrastive learning for cross-prompt automated essay scoring
Y Chen, X Li - Proceedings of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Current cross-prompt automated essay scoring (AES) is a challenging task due to the large
discrepancies between different prompts, such as different genres and expressions. The …
discrepancies between different prompts, such as different genres and expressions. The …
A cross-guidance cross-lingual model on generated parallel corpus for classical Chinese machine reading comprehension
Chinese diachronic gap is a key issue in classical Chinese machine reading
comprehension (CCMRC). Preceding work on bridging this gap has been mostly restricted …
comprehension (CCMRC). Preceding work on bridging this gap has been mostly restricted …
Diffusion model-based contrastive learning for human activity recognition
C **ao, Y Han, W Yang, Y Hou, F Shi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
WiFi channel state information (CSI)-based activity recognition has sparked numerous
studies due to its widespread availability and privacy protection. However, when applied in …
studies due to its widespread availability and privacy protection. However, when applied in …
Multi-level cross-modal contrastive learning for review-aware recommendation
Recent studies tend to employ Contrastive Learning (CL) methods to facilitate model training
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …
Dual Contrastive Learning for Cross-Domain Named Entity Recognition
Benefiting many information retrieval applications, named entity recognition (NER) has
shown impressive progress. Recently, there has been a growing trend to decompose …
shown impressive progress. Recently, there has been a growing trend to decompose …
FUMMER: A fine-grained self-supervised momentum distillation framework for multimodal recommendation
The considerable semantic information contained in multimodal data is increasingly
appreciated by industry and academia. To effectively leverage multimodal information …
appreciated by industry and academia. To effectively leverage multimodal information …
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer
J Zheng, F Fan, J Li - arxiv preprint arxiv:2404.16627, 2024 - arxiv.org
Unsupervised cross-lingual transfer involves transferring knowledge between languages
without explicit supervision. Although numerous studies have been conducted to improve …
without explicit supervision. Although numerous studies have been conducted to improve …
Catalyzing Multilingual NLP: New Methods for Low-Resource Language Support
This paper talks about a new way to make queries for Large Language Models (LLMs)
better. We introduce a method called Query Semantic Complexity (QSC). This method helps …
better. We introduce a method called Query Semantic Complexity (QSC). This method helps …
[PDF][PDF] The Language Model, Resources, and Computational Pipelines for the Under-Resourced Iranian Azerbaijani
Iranian Azerbaijani is a dialect of the Azerbaijani language spoken by more than 16% of the
population in Iran (> 14 million). Unfortunately, a lack of computational resources is one of …
population in Iran (> 14 million). Unfortunately, a lack of computational resources is one of …