http://aclanthology.lst.uni-saarland.de/people/n/naoaki-okazaki/ WitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder model, we show that the model sometimes generates untruthful headlines. We conjecture that one of the reasons lies in untruthful supervision data used for training the model.
ACL2024: Hooks in the Headline: Learning to Generate Headlines …
Witryna2 maj 2024 · Thispaper explores improving the truthfulness inheadline generation on two popular datasets.Analyzing headlines generated by the state-of-the-art encoder-decoder model, we showthat the model sometimes generates untruthfulheadlines. We conjecture that one of the rea-sons lies in untruthful supervision data usedfor training … WitrynaImproving Truthfulness of Headline Generation URL Young researcher’s encouragement award, the 242nd Meeting of Special Interest Group of Natural Language Processing (SIGNL), Information Processing Society of Japan (IPSJ) (2024-10-25) Tatsuya Hiraoka HMM-based Neural Network Capturing Latent History with RNN URL daawat everyday basmati rice
Improving Truthfulness of Headline Generation - Semantic Scholar
WitrynaIntroduced by Matsumaru et al. in Improving Truthfulness of Headline Generation The Gigaword Entailment dataset is a dataset for entailment prediction between an article … Witryna5 gru 2024 · The model is then fine-tuned for the headline generation task using a massive news corpus. The system is evaluated by 3 expert journalists working in a Finnish media house. The results showcase ... WitrynaImproving Truthfulness of Headline Generation Kazuki Matsumaru Sho Takase Naoaki Okazaki Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics pdf bib abs Enhancing Machine Translation with Dependency-Aware Self-Attention Emanuele Bugliarello Naoaki Okazaki daawat e ishq full movie watch online free