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method ID: graphencoder

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Publication: TIPSTER (2021)

DOI: nan

AbstractEvent extraction (EE) has considerably benefited from pre-trained language models (PLMs) by fine-tuning. However, existing pre-training methods have not involved modeling event characteristics, resulting in the developed EE models cannot …...

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Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

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Publication: TIPSTER (2021)

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AbstractExploiting label hierarchies has become a promising approach to tackling the zero-shot multi-label text classification (ZS-MTC) problem. Conventional methods aim to learn a matching model between text and labels, using …...

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Incorporating EDS Graph for AMR Parsing

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DOI: nan

AbstractAMR (Abstract Meaning Representation) and EDS (Elementary Dependency Structures) are two popular meaning representations in NLP/NLU. AMR is more abstract and conceptual, while EDS is more low level, closer to …...

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Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation

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AbstractStance detection is typically framed as predicting the sentiment in a given text towards a target entity. However, this setup overlooks the importance of the source entity, i.e., who is …...

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