Improving truthfulness of headline generation
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 … Witryna2 maj 2024 · This paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder …
Improving truthfulness of headline generation
Did you know?
WitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … WitrynaHeadline generation 20 papers with code • 1 benchmarks • 1 datasets
Witryna1 sty 2024 · Usually, headline generation is regarded as a special task of general abstractive text summarization, and the majority of existing studies could be easily … WitrynaImproving Truthfulness of Headline Generation Most studies on abstractive summarization report ROUGE scores between system and reference summaries. …
WitrynaWe introduce FunLines, a competitive game where players edit news headlines to make them funny, and where they rate the funniness of headlines edited by others. FunLines makes the humor generation process fun, interactive, collaborative, rewarding and educational, keeping players engaged and providing humor data at a very low cost … Witryna1 kwi 2024 · The motivation of this research is to explore the essence of the auto-summarization generation by simulating people’s thinking logic in the process of writing abstracts, giving deep learning a certain degree of interpretability and reasoning. 2. There are a lot of repetition problems in the abstracts generated in the previous related studies.
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.
WitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … jelena suter globusWitrynaThispaper 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... lahore qalandar vs multan sultan live matchWitryna1 dzień temu · Improving 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 lahore rakh chandraiWitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … lahore qalandar vs multan sultans match timingWitrynaThe column “# words” presents two values for each row: a top value is the total number of words in the headline; and the bottom value is the total number of words in the … jelena suterWitryna1 lip 2024 · Most studies on abstractive summarization report ROUGE scores between system and reference summaries. However, we have a concern about the … lahore qalandar vs multan sultan highlightsWitrynaImproving 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 jelena svitolina