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Paraphasie

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9 documents available in our comprehensive collection of Paraphasie resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Neural Caption Translation
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Neural Caption Translation (201911_IEICE_johanes-e_1.paper.pdf)

2.01 MBEN 10 pages
This study proposes leveraging neural caption translation with visually grounded paraphrase augmentation, representing a concept with multiple paraphrase...
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Preview of QNLP Ansätze Comparison
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QNLP Ansätze Comparison (khatri-thesis.pdf)

785 KBEN 95 pages
This thesis compares the performance of multiple ansätze for Quantum Natural Language Processing (QNLP) tasks, including paraphrase identification, and...
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Preview of Contextual Word Similarity
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Contextual Word Similarity (C12-1066.pdf)

162 KBKazuo Hara ; Ikumi Suzuki ; Masashi Shimbo ; Yuji MatsumotoEN 16 pages
Researchers propose a new measure of semantic similarity between words in context, exploiting syntactic/semantic structure of surrounding context, and test it...
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pdf (D13-1090.pdf)

617 KBYangfeng Ji ; Jacob EisensteinEN 6 pages
Researchers propose improvements to distributional sentence similarity methods, which transform high-dimensional bag-of-words representations into...
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pdf (2020.lrec-1.845.pdf)

290 KBLouisa Pragst ; Wolfgang Minker ; Stefan UltesEN 11 pages
The goal is to determine how well these models capture information relevant to contextual paraphrasing tasks, which involve identifying sentences that can...
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Preview of Using Quotations
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Using Quotations (IncorpQuotations.pdf)

80 KBcsiverEN 2 pages
Social science papers require incorporating course materials or independent research, using quotes to support the main argument.
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Preview of Ridgecrest Plagiarism Policy
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Ridgecrest Plagiarism Policy (1blBcGKQqNw6W9j24nn9u2gSourkENTP80skz6LMbKRcx0Il.pdf)

140 KBJennifer McArthurEN 1 page
Ridgecrest Intermediate School expects academic integrity, prohibiting plagiarism and cheating.
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Preview of http://www.meanotek.io/files/natgen.pdf
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http://www.meanotek.io/files/natgen.pdf (natgen.pdf)

793 KBTarasov D. S.EN 8 pages
The model is trained on a large dataset of consumer reviews in Russian and can generate novel sentences and document summaries.
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Preview of <think>
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(ASTRX-Review-of-Material-Flow-at-MRFs-and-Reprocessors-1.pdf)

6.49 MBEN 48 pages
They specified to be concise and not add any markers or titles. Let me look at the content provided. The document has sections like Introduction, Methodology, Interviewee profiles for MRF and Reprocessor, Findings on Plastics, Paper, Glass, Steel, Recommendations, Glossary, and...
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