Papers by Ruiting Li

2 papers
A Corpus and Method for Chinese Named Entity Recognition in Manufacturing (2024.lrec-main)

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Challenge: Existing resources and techniques for named entity recognition (NER) for manufacturing-specific named entities are limited.
Approach: They propose a corpus of Chinese manufacturing specifications, named MS-NERC, with 4,424 sentences and 16,383 entities.
Outcome: The proposed model outperforms neural methods in few-shot and rich-resource domains.
Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction (2025.emnlp-main)

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Challenge: Existing approaches to multimodal relation extraction ignore structural constraints and lack semantic expressiveness for fine-grained relation understanding.
Approach: They propose a framework that reformulates multimodal relation extraction as a retrieval task driven by relation semantics.
Outcome: The proposed framework achieves state-of-the-art performance on the benchmark datasets MNRE and MORE and exhibits stronger robustness and interpretability.

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