Improving truthfulness of headline generation
WitrynaACL2024: Improving Truthfulness of Headline Generation Improving Truthfulness of Headline Generation Kazuki Matsumaru , Sho Takase , Naoaki Okazaki Abstract …
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. 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 …
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.
WitrynaIn this paper, we explore improving the truthful-ness in abstractive summarization on two datasets, English Gigaword and JApanese MUlti-Length Headline Corpus … 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
Witryna20 mar 2024 · We introduce a new task of entailment-relation-aware paraphrase generation and propose a RL-based weakly-supervised model ( ERAP) that can be trained without a task-specific corpus. Additionally, an existing NLI corpora is recasted to curate a small annotated dataset for this task, and provide performance bounds for it.
http://sidenoter.nii.ac.jp/acl_anthology/2024.acl-main.123/ smallest boat in the worldWitrynaThis paper explores improving the truthfulness in headline generation on two popular datasets. Analyzing headlines generated by the state-of-the-art encoder-decoder … song in present perfectWitrynaImproving Truthfulness of Headline Generation Most studies on abstractive summarization report ROUGE scores between system and reference summaries. … smallest boat for oceanWitryna1 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. song in new yorkWitryna2 maj 2024 · Thispaper explores improving the truthfulness inheadline generation on two popular datasets.Analyzing headlines generated by the state-of-the-art encoder … smallest boat air conditionerWitryna2 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 … song in russian translateWitrynaThis 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. song in pretty woman movie