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Found 8 papers, 1 papers with code
Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision
Besides, the robustness of the previous neural methods is limited by the large-scale annotated data.
Self-Supervised Quality Estimation for Machine Translation
Quality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT.
How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive Evaluation
Relation Extraction (RE) serves as a crucial technology for transforming unstructured text into structured information, especially within the framework of Knowledge Graph development.
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching
Semantic Retrieval (SR) has become an indispensable part of the FAQ system in the task-oriented question-answering (QA) dialogue scenario.
Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation
Large language models (LLMs) have demonstrated promising potential in various downstream tasks, including machine translation.
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
A multi-aspect attentive network is proposed to automatically attend to different aspects in a review and ensure most of the issues are tackled.
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
They also ignore the importance to capture the inter-dependency between query and the support set for few-shot text classification.
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval
Unexpectedly, MLM ignores the sentence-level training, and CL also neglects extraction of the internal info from the query.
