Improving truthfulness of headline generation
Witryna1 lip 2024 · Most studies on abstractive summarization report ROUGE scores between system and reference summaries. However, we have a concern about the truthfulness of ge... 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
Improving truthfulness of headline generation
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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 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. Witryna1 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
WitrynaImproving Truthfulness of Headline Generation Kazuki Matsumaru, Sho Takase and Naoaki Okazaki. In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc … Witryna2 maj 2024 · Thispaper explores improving the truthfulness inheadline generation on two popular datasets.Analyzing headlines generated by the state-of-the-art encoder …
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.
Witryna1 前言. 本次介绍ACL2024年会议中开源的一个关于新闻标题生成的数据集——PENS，论文标题为。 这里需要提及的是：PENS数据集跟以往的不太一样（如Google News），它包含了用户信息（如阅读过的新闻，点击的次数等），这样利用该数据集 ... involuntary wrist flexionWitrynaThispaper 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... involut alphaWitrynaWe 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 … involuntary youth transportWitrynaThis 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. in voluptas mors posterWitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … involuntary zoning outWitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … involute bandWitrynaHeadline generation 20 papers with code • 1 benchmarks • 1 datasets involute and cycloid gear