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Relphormer: Relational graph transformer for knowledge graph representations
Transformers have achieved remarkable performance in widespread fields, including
natural language processing, computer vision and graph mining. However, vanilla …
natural language processing, computer vision and graph mining. However, vanilla …
Commonsense knowledge salience evaluation with a benchmark dataset in E-commerce
In e-commerce, the salience of commonsense knowledge (CSK) is beneficial for widespread
applications such as product search and recommendation. For example, when users search …
applications such as product search and recommendation. For example, when users search …
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction
This paper presents our LLM-based system designed for the MEDIQA-CORR@ NAACL-
ClinicalNLP 2024 Shared Task 3, focusing on medical error detection and correction in …
ClinicalNLP 2024 Shared Task 3, focusing on medical error detection and correction in …
Generative Semantic Modeling for Structured Data Source with Large Language Model
The paper introduces a generative semantic model for representing human knowledge in a
way that enables computer understanding and reasoning. The current approach to semantic …
way that enables computer understanding and reasoning. The current approach to semantic …