Simple Sentences and Compound Subjects It's not too tough to make subjects and verbs agree in a basic sentence with a simple subject. For example, in the sentence, 'My flight leaves in an hour,' the subject, 'flight,' is singular, and the verb, 'leaves,' is singular as well, so ...
•Style of writing – such as simple/complex sentences, transition markers, reported speech (over-use) and use of ellipsis in newspaper headings (when words are left out of a sentence but the sentence can still be understood).Show students some extracts taken from various samples of texts. ...
Simple, Compound, and Complex Sentences. Simple Sentence A simple sentence, also called an independent clause, contains a subject and a verb, and it expresses. Compound and Complex Sentences English 9: Mrs. Brown/Mrs. Feger. Compound & Complex Sentences. Compound Sentence Is made up of 2 simp...
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zero-shot classification, and automatic rule discovery to develop simple predictive models grounded in psychological knowledge. Tested on two massive datasets, the models present significant predictive performance and show that even complex social situations can be functionally analyzed through modern computati...
aAm complex nor simple 正在翻译,请等待... [translate] a但是我知道这些是不够的,所以我希望能够获得这次保研的机会,能够继续留在本校深造 But I knew these are insufficient, therefore I hoped can obtain the opportunity which this time guarantees grinds, can continue to keep this school to pursue ad...
Examples include {2700088m22rik, riken cdna 2700088m22 gene} and {atp5bl1, atp synthase, h+ transporting, mitochondrial f1 complex,β polypeptide-like 1}. Of the rest of six entries, we could find symbols in MEDLINE, but failed to find full names. Examples include {aspa, aspartoacylase (...
video content and story analytics. Unlike many of these methods, which concentrate on detecting detailed visual elements such as objects and actions or describing short video clips with simple sentences, we aim at developing methods to identify the key elements of a story in a video, such as ...
surpassing the limitations of traditional encoding vectorization methods. Here, we utilized the default text representation model, “all-MiniLM-L6-v2”, for our analysis. This model, designed as an all-purpose model, functions by converting sentences and paragraphs into a 384-dimensional dense vector...
At the same time, this method could be treated as simple and complex. The complexity arises from two factors: how to design the vocabulary of known words (or tokens) and rank known words [22]. Another NLP technique used in this study was cosine similarity. Here we used cosine similarity ...