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Neural Paraphrase Identification of Questions with Noisy Pretraining Gaurav Singh Omar Thy ago Tuque Oscar Backstroke Jakob Uszkoreit Iranian Was Google Inc. Omar, tuque, Oscar, uszkoreit, dipanjand×google.abstract We
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Neural paraphrase identification is the task of determining whether two sentences have the same meaning.
Researchers and developers in the field of natural language processing are typically required to work on neural paraphrase identification tasks.
Neural paraphrase identification can be filled out by training machine learning models on large datasets of sentence pairs and evaluating the model's performance on a test set.
The purpose of neural paraphrase identification is to help improve tasks such as machine translation, question-answering systems, and information retrieval by accurately identifying when two sentences convey the same meaning.
In neural paraphrase identification, the information reported typically includes the input sentences, the predicted output labels (i.e., paraphrase or not), and the evaluation metrics used to assess the model's performance.
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