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Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
The last line of a paragraph continuing on to a new page (highlighted yellow) is a widow (sometimes called an orphan). In typesetting, widows and orphans are single lines of text from a paragraph that dangle at either the beginning or end of a block of text, or form a very short final line at the end of a paragraph. [1]
The Text Encoding Initiative (TEI) is a text-centric community of practice in the academic field of digital humanities, operating continuously since the 1980s. The community currently runs a mailing list, meetings and conference series, and maintains the TEI technical standard , a journal , [ 1 ] a wiki , a GitHub repository and a toolchain .
Drawing up a comprehensive list of words in English is important as a reference when learning a language as it will show the equivalent words you need to learn in the other language to achieve fluency. A big list will constantly show you what words you don't know and what you need to work on and is useful for testing yourself.
Assigning a question type to the question is a crucial task; the entire answer extraction process relies on finding the correct question type and hence the correct answer type. Keyword extraction is the first step in identifying the input question type. [14] In some cases, words clearly indicate the question type, e.g.,
Latest news: Luigi Mangione, suspect in Brian Thompson slaying, retains high-profile NY attorney Fort Eisenhower receives all-clear. It then gave the all-clear around 10:30 a.m. "Fort Eisenhower ...
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