Papers by ZhiChao Lin

3 papers
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation (2022.emnlp-main)

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Challenge: Image-to-text tasks such as captioning and controllable image descriptions have received extensive attention for decades.
Approach: They propose a new perspective for image-to-text to generate spatial descriptions by combining two objects in an image.
Outcome: The proposed model is awe-inspiring and human-like, and the proposed end-to-end architecture is the better choice for their integration.
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing (2021.emnlp-main)

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Challenge: Existing studies focus on frame semantic parsing as a graph construction problem.
Approach: They propose an end-to-end neural model to tackle frame semantic parsing jointly.
Outcome: The proposed model is highly competitive and performs better than pipeline models on two benchmark datasets.
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition (2021.acl-long)

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Challenge: Existing models for named entity recognition (NER) focus on overlapped or discontinuous entities.
Approach: They propose a span-based named entity recognition model that can recognize both overlapped and discontinuous entities jointly.
Outcome: The proposed model can recognize overlapped and discontinuous entities jointly.

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