Papers by Jietian Guo

2 papers
Insert or Attach: Taxonomy Completion via Box Embedding (2024.acl-long)

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Challenge: Existing taxonomy expansion methods embed concepts as vectors in Euclidean space, causing incorrectly model asymmetric relations.
Approach: They propose to use box containment and center closeness to create geometric scorers that capture intrinsic relationships between concepts.
Outcome: The proposed framework outperforms existing methods on four real-world datasets.
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition (2023.emnlp-main)

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Challenge: Distantly supervised named entity recognition (DS-NER) aims to locate entity mentions and classify their types with knowledge bases or gazetteers and unlabeled corpus.
Approach: They propose a noise-robust prototype network named MProto for a DS-NER task . they propose an optimal transport algorithm to mitigate the noise from incomplete labeling .
Outcome: The proposed network achieves state-of-the-art on several DS-NER benchmarks.

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