most citedOn Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Generating Faithful Text From a Knowledge Graph with Noisy Reference Text

Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya +2

Knowledge Graph (KG)-to-Text generation aims at generating fluent natural-language text that accurately represents the information of a given knowledge graph. While significant pro…

cs.AI2023

DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space

Songlin Zhai, Weiqing Wang, Yuanfang Li +1

Taxonomy expansion is the process of incorporating a large number of additional nodes (i.e., "queries") into an existing taxonomy (i.e., "seed"), with the most important step being…

cs.CL2023★ 3 cited

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

Terry Yue Zhuo, Zhuang Li, Yujin Huang +4

Semantic parsing is a technique aimed at constructing a structured representation of the meaning of a natural-language question. Recent advancements in few-shot language models tra…

cs.CL2022★ 2 cited

Unsupervised Sentence Simplification via Dependency Parsing

Vy Vo, Weiqing Wang, Wray Buntine

Text simplification is the task of rewriting a text so that it is readable and easily understood. In this paper, we propose a simple yet novel unsupervised sentence simplification…

cs.CL2022

Paraphrasing Techniques for Maritime QA system

Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li +5

There has been an increasing interest in incorporating Artificial Intelligence (AI) into Defence and military systems to complement and augment human intelligence and capabilities.…