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 • 1 May 2024 • Dongqi Pu, Vera Demberg
For long document summarization, discourse structure is important to discern the key content of the text and the differences in importance level between sentences.
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.