Instead, just write. Just put pen to paper. Don’t worry about what comes out. It’s not important. You just need to get your short story started. You will need to write 50 to 100 percent more words than will end up in the final draft of your short story. That means if you’re...
To summarize, our work makes the following key contributions: The paper is organized as follows. In Section 2, we briefly present an overview of related work on text-based user profiling. Section 3 is devoted to introducing basic concepts of Dempster–Shafer theory used in our proposed framework...
With the recent explosive growth of e-commerce and online communication, a new genre of text, short text, has been extensively applied in many areas. So many researches focus on short text mining. It is a challenge to classify the short text owing to its natural characters, such as sparsene...
To summarize, the main contributions of this paper are: 2. Related Work Our research is related to the studies of both short text classification and dataless text classification. In the following, we briefly review works in these two areas. Short Text Classification The lack of information ...
To summarize the main idea of the passage 2. To know the short history of Western painting 3. To learn to appreciate more paintings 4. To learn some useful words, expressions and patterns in the passage Skimming Q: Choose the right answer about the main idea of the text A. ...
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(fps) using text prompts, reportedly in about 2 minutes. At the conference, Minimax CEO Yan Junjie pointed out that this is only the first iteration of the model and that future updates will include the ability to generate video from images and edit those generated videos, per theSouth ...
If you want a larger number of people to look at this sort of thing, my advice would be to include the text in the post itself, rather than attached as a PDF file. 陳德聰 Members 2.4k Chinese:HSK∞ Location:溫哥華 PostedJune 28, 2013 at 03:55 AM ...
We lemmatize the entire text to its base form to make data uniform. We use the Stanford core NLP package to perform lemmatization. 2.2. Semantic extension Semantics form an inherent and crucial feature of the input document but are overlooked by the existing summarizers in the literature. ...
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