Papers by Hongtao Xie

2 papers
Curriculum Learning for Natural Language Understanding (2020.acl-main)

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Challenge: Pre-trained language models can be fine tuned to perform NLU tasks in a straightforward manner.
Approach: They propose a pretrain-finetune paradigm for natural language understanding (NLU) they propose 'a cross-trainset' approach that allows users to distinguish easy from difficult examples .
Outcome: The proposed approach achieves significant performance improvements on a wide range of NLU tasks.
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion (2024.findings-acl)

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Challenge: Text-based knowledge graph completion methods neglect knowledge contexts in inferring process.
Approach: They propose a framework which models the knowledge context as additional prompts with pre-trained language models for knowledge graph completion.
Outcome: The proposed framework achieves state-of-the-art on FB15k-237, WN18RR and Wikidata5M datasets.

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