分词(tokenization,也叫word segmentation)是一种操作,它按照特定需求,把文本切分成一个字符串序列(其元素一般称为token,或者叫词语)。对于西方屈折语的文本 ,词与词之间有空格之类的显式标志指示词的边界,但是有些固定搭配仍然需要当作一个词;而对于很多孤立语和黏着语 (如汉语、日语、越南语、藏语等) ,词与词之间没有
它们在诸如BERT、GPT和其他基于Transformer的模型中都有广泛应用。 SentencePiece分词库 无需语言特定的预处理:传统的NLP模型常常需要语言特定的预处理步骤,如分词、词干提取、去除变形等。SentencePiece的设计允许它在没有进行这些预处理步骤的情况下直接对原始文本进行分词,这使得它适用于多语言和跨语言的场景。 处理罕见...
Token Masking(token 掩码):按照 BERT 模型,BART 采样随机 token,并用 [MASK]标记 替换它们; Sentence Permutation(句子排列变换):按句号将文档分割成多个句子,然后以随机顺序打乱这些句子; Document Rotation(文档旋转):随机均匀地选择 token,旋转文档使文档从该 token 开始。该任务的目的是训练模型识别文档开头; Tok...
Introducing Florence-2:Integration of Florence-2 inFlorance2Transformer, a sophisticated vision foundation model for diverse prompt-based vision and vision-language tasks like captioning, object detection, and segmentation. New Document Partitioning Feature:Added thePartitionandPartitionTransformerannotator for ...
model_nameName of one of the supported models.Must choose frombert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, ...
The main goal for topic segmentation is extracting the main topics from a document. A cohesive topic segment forms a unified whole, using various linguistic operators: repeated references to an entity or event; the use of conjunctions to link related ideas; and the repetition of meaning through ...
本资源整理了近几年,自然语言处理领域各大AI相关的顶会中,一些经典、最新、必读的论文,涉及NLP领域相关的,Bert模型、Transformer模型、迁移学习、文本摘要、情感分析、问答、机器翻译、文本生成、质量评估、纠错(多任务、masking策略等。)、Probe、多语言、领域相关、多模态、模型压缩、谓词填充、Analysis、分词解析NER、...
frommindnlp.transformersimportAutoModel model = AutoModel.from_pretrained('bert-base-cased') Full Platform Support: Comprehensive support forAscend 910 series,Ascend 310B (Orange Pi),GPU, andCPU. (Note: Currently the only AI development kit available on Orange Pi.) ...
Bert Series Transformer Series Transfer Learning Text Summarization Sentiment Analysis Question Answering Machine Translation Surver paper Downstream task QA MC Dialogue Slot filling Analysis Word segmentation parsing NER Pronoun coreference resolution Word sense disambiguation ...
Bert Series Transformer Series Transfer Learning Text Summarization Sentiment Analysis Question Answering Machine Translation Surver paper Downstream task QA MC Dialogue Slot filling Analysis Word segmentation parsing NER Pronoun coreference resolution Word sense disambiguation ...