no code implementations • FEVER (ACL) 2022 • Chieh-Yang Huang, Jinfeng Li, Nikita Bhutani, Alexander Whedon, Estevam Hruschka, Yoshi Suhara
To alleviate this scarcity problem, we develop an unsupervised method, ZL-Distiller, which leverages contextual language representations of the reviews and their distributional patterns to identify salient sentences about entities.
no code implementations • 2 May 2024 • Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara
The zero-shot capability of Large Language Models (LLMs) has enabled highly flexible, reference-free metrics for various tasks, making LLM evaluators common tools in NLP.
1 code implementation • 7 Feb 2024 • Yoshi Suhara, Dimitris Alikaniotis
Neural abstractive summarization models make summaries in an end-to-end manner, and little is known about how the source information is actually converted into summaries.
no code implementations • 17 Nov 2022 • Ting-Yao Hsu, Yoshi Suhara, Xiaolan Wang
To help users quickly digest the key information, we propose the novel CQA summarization task that aims to create a concise summary from CQA pairs.
no code implementations • 16 Nov 2022 • Hayate Iso, Xiaolan Wang, Yoshi Suhara
Current opinion summarization systems simply generate summaries reflecting important opinions from customer reviews, but the generated summaries may not attract the reader's attention.
1 code implementation • 3 Jun 2022 • Reinald Kim Amplayo, Arthur Bražinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu
In this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners.