We argue that although the web-crawled data often has formatting errors causing semantic inaccuracies, it can still serve as a valuable source for highquality supervised fine-tuning in specific domains without relying on advanced models like GPT-4. To this end, we create a paired training ...
Future works include constructing a larger-scale Web-crawled corpus. Another important issue is to improve the accuracy of the alignment of bilingual sentences by the subtitle display time. We are also considering adding more language pairs in the future....
In the melting pot of web‐crawled texts: The challenges of extracting English words from Croatian corporaMELTING pot (Sociology)CORPORACROATIAN languageORTHOGRAPHY & spellingDATA extractionCOMPUTATIONAL linguisticsThe focus of this paper are English words and phrases used in Croatian which...
Error Types Web-Crawled Examples Model Converted Examples Super/ Subscripts Errors Q: 将一根绳子对折一次后从中间剪一刀,绳子变成3段;对折两次后从中间剪一刀,绳子变成5段:将这根绳子对折n次后从中间剪一刀,绳子变成 段. A: 根据分析可得:将一根绳子对折1次从中间一刀,绳子变成3段;有21+1=3.将一根绳子...
Weakly Supervised Semantic Segmentation using Web-Crawled Videos CVPR2017 https://arxiv.org/abs/1701.00352 一不小心看到了一篇关于弱监督的语义分割的文献,这才发现仅一个弱监督语义分割就是大坑啊,看看这篇文章的参考文献就知道了。 与弱监督对应的就是强监督语义分割,即我们平时所说的语义分割,训练样本就是基...
Intuition是,对于大规模的noisy data,简单的filtering是有用的,但缺失了从其中的informative pair中学习的机会 先看一下正常的caption loss 由于缺乏别的输入,在noisy data输入的情况下,优化结果会朝着dominate的image-text相关性level优化,而filter的方法提高了平均的image-text相关性level,理论上和实际上也会变得更好...
Zhang J, Tian Y, Mao J, Han M, Wen F, Guo C, Gao Z, Matsumoto T. WCC-JC 2.0: A Web-Crawled and Manually Aligned Parallel Corpus for Japanese-Chinese Neural Machine Translation.Electronics. 2023; 12(5):1140. https://doi.org/10.3390/electronics12051140 ...
For our solution, we demonstrate how to index a crawled website using the Amazon Kendra Web Crawler. The solution consists of the following steps: Choose an authentication mechanism for the website (if required) and store the details in AWS Secrets Manager. Create an Amazo...
We present the Industrial Language-Image Dataset (ILID), a small and web-crawled dataset containing language-image samples from various web catalogs, representing parts/components from the industrial domain. Currently, the dataset has 12.537 valid samples from five different web catalogs, including a...
We argue that although the web-crawled data often has formatting errors causing semantic inaccuracies, it can still serve as a valuable source for high-quality supervised fine-tuning in specific domains without relying on advanced models like GPT-4. To this end, we create a paired training ...