Web24 Sep 2024 · BERT is a large-scale model consisting of a transformer network with an encoder-decoder structure, which can be trained with a mask language model and a next-sentence prediction task to acquire a distributed representation of the language that can be applied to a variety of tasks. Web29 May 2024 · As a quick review, natural language inference (NLI) considers two sentences: a "premise" and a "hypothesis". The task is to determine whether the hypothesis is true (entailment) or false (contradiction) given the premise. Examples from http://nlpprogress.com/english/natural_language_inference.html
Cross-Encoders — Sentence-Transformers documentation
Web11 Dec 2024 · Fine-tune BERT for the Sentence Pair Classification task by PyZone Community Medium 500 Apologies, but something went wrong on our end. Refresh the … Web30 Jun 2024 · Among classification tasks, BERT has been used for fake news classification and sentence pair classification. To aid teachers, BERT has been used to generate … pdf of white noise
Fine-tune BERT for the Sentence Pair Classification task
Web15 Jul 2024 · In this paper, we introduce the Chinese Few-shot Learning Evaluation Benchmark (FewCLUE), the first comprehensive few-shot evaluation benchmark in Chinese. It includes nine tasks, ranging from single-sentence and sentence-pair classification tasks to machine reading comprehension tasks. Web9 Mar 2024 · The paraphrase identification system takes this task as a classification task whereas the paraphrase generation system takes this task as a language generation task. The algorithms of machine learning (ML) and artificial intelligence (AI) bring about the classification of sentences. pdf of window of tolerance