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Predicate Detection

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평가표: 3
보존된 평가 기록: 5

Detecting predicates in sentences. Semantic frames are defined with respect to predicates. This task is a prerequisite to semantic role labeling.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/HornHehhf/TAWT

공식 코드

Weighted Training for Cross-Task Learning

https://github.com/Stareru/NeighboringDistributionDivergence

공식 코드

Contextualized Semantic Distance between Highly Overlapped Texts

https://github.com/deeplab-ai/selfsupervisedvrd

공식 코드

Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction

https://github.com/jatinarora2702/Review-Information-Extraction

공식 코드

Extracting Entities of Interest from Comparative Product Reviews

https://github.com/jyhong0304/visual-relationship-detection-rwfn

공식 코드

Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

https://github.com/lucaspk512/vrdone

공식 코드

VrdONE: One-stage Video Visual Relation Detection

https://github.com/pavliclab/aaai2022-clear2022-visual_relationship_detection-rwfn

공식 코드

Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

https://github.com/strubell/LISA

공식 코드

Linguistically-Informed Self-Attention for Semantic Role Labeling

https://github.com/vandadim/adas_mri

공식 코드

Comparison of single and multitask learning for predicting cognitive decline based on MRI data

https://github.com/luheng/deep_srl

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.