Search Results for author: Ziyi Shou

Found 4 papers, 2 papers with code

AMR-DA: Data Augmentation by Abstract Meaning Representation

1 code implementation • Findings (ACL) 2022 • Ziyi Shou, Yuxin Jiang, Fangzhen Lin

To evaluate the effectiveness of our method, we apply it to the tasks of semantic textual similarity (STS) and text classification.

Data Augmentation Semantic Textual Similarity +5

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Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems

no code implementations • 4 Apr 2023 • Fangzhen Lin, Ziyi Shou, Chengcai Chen

For a natural language problem that requires some non-trivial reasoning to solve, there are at least two ways to do it using a large language model (LLM).

Language Modelling Large Language Model

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Incorporating EDS Graph for AMR Parsing

no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Ziyi Shou, Fangzhen Lin

AMR (Abstract Meaning Representation) and EDS (Elementary Dependency Structures) are two popular meaning representations in NLP/NLU.

AMR Parsing

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XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning

1 code implementation • SEMEVAL 2021 • Yuxin Jiang, Ziyi Shou, Qijun Wang, Hao Wu, Fangzhen Lin

This paper presents our submitted system to SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning.

Language Modelling Reading Comprehension

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