no code implementations • COLING (CreativeSumm) 2022 • Dongqi Pu, Xudong Hong, Pin-Jie Lin, Ernie Chang, Vera Demberg
The Creative Summarization Shared Task at COLING 2022 aspires to generate summaries given long-form texts from creative writing.
no code implementations • EAMT 2022 • Dongqi Pu, Khalil Sima’an
Existing syntax-enriched neural machine translation (NMT) models work either with the single most-likely unlabeled parse or the set of n-best unlabeled parses coming out of an external parser.
no code implementations • 26 Mar 2024 • Dongqi Pu, Yifan Wang, Jia Loy, Vera Demberg
Scientific news reports serve as a bridge, adeptly translating complex research articles into reports that resonate with the broader public.
no code implementations • 13 Jun 2023 • Dongqi Pu, Vera Demberg
Large-scale language models, like ChatGPT, have garnered significant media attention and stunned the public with their remarkable capacity for generating coherent text from short natural language prompts.
no code implementations • 26 May 2023 • Dongqi Pu, Yifan Wang, Vera Demberg
For text summarization, the role of discourse structure is pivotal in discerning the core content of a text.