Papers by Mengyi Huang

2 papers
Autodive: An Integrated Onsite Scientific Literature Annotation Tool (2023.acl-demo)

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Challenge: Annotating scientific literature directly on PDF documents can greatly improve the labeling efficiency of scientists whose annotation costs are very high.
Approach: They propose an integrated onsite scientific literature annotation tool for natural scientists and Natural Language Processing (NLP) researchers.
Outcome: The proposed tool supports the whole lifecycle of corpus generation including i)project management, ii)resource management, and iv)ontology management, as well as manual annotation, onsite auto annotation, and vi)task statistic.
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation (2024.lrec-main)

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Challenge: Existing methods for learning relational knowledge are replay-based and prioritize data uniformly . a pronounced bias towards new tasks can be caused by the introduction of new tasks .
Approach: They propose a framework that decouples the process of prior information preservation and new knowledge acquisition.
Outcome: Extensive experiments show that the framework outperforms baselines across two datasets.

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