Papers by Haoyun Hong

2 papers
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation (2021.emnlp-main)

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Challenge: a number of information extraction tasks require task-specific training.
Approach: They propose a text-to-triple translation framework for information extraction tasks . they propose enabling task-agnostic translation by leveraging latent knowledge of a pre-trained language model .
Outcome: The proposed framework outperforms the existing methods on open information extraction tasks.
DeepStruct: Pretraining of Language Models for Structure Prediction (2022.findings-acl)

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Challenge: Pretrained language models perform structural understanding tasks that focus on understanding one aspect of the text.
Approach: They propose a method for improving the structural understanding abilities of language models by pretraining them to generate structures from the text on task-agnostic corpora.
Outcome: The proposed model performs state-of-the-art on 21 of 28 datasets.

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