Argument mining as a text-to-text generation task

M Kawarada, T Hirao, W Uchida… - Proceedings of the 18th …, 2024 - aclanthology.org
Argument Mining (AM) aims to uncover the argumentative structures within a text. Previous
methods require several subtasks, such as span identification, component classification, and …

Can we obtain significant success in RST discourse parsing by using Large Language Models?

A Maekawa, T Hirao, H Kamigaito… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, decoder-only pre-trained large language models (LLMs), with several tens of
billion parameters, have significantly impacted a wide range of natural language processing …

Exploring discourse structure in document-level machine translation

X Hu, X Wan - Proceedings of the 2023 Conference on Empirical …, 2023 - aclanthology.org
Neural machine translation has achieved great success in the past few years with the help of
transformer architectures and large-scale bilingual corpora. However, when the source text …

First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1

X Wu, H Zhang, Y Yang, J Lu - arxiv preprint arxiv:2407.01271, 2024 - arxiv.org
In this paper, we present our champion solution to the Global Artificial Intelligence
Technology Innovation Competition Track 1: Medical Imaging Diagnosis Report Generation …