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Search results for bert sequence labeling
bert
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sequence-labeling
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14 search results found
Kashgari
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2,141
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Cluener2020
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1,384
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Gector
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680
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Bert For Sequence Labeling And Text Classification
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422
This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
Adaseq
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295
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Pytorch Nlu
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226
Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.
Pie
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163
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
Prosody
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104
Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text
Ntagger
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80
reference pytorch code for named entity tagging
Multilangstructurekd
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64
[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
Transformers Keras
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61
Transformer-based models implemented in tensorflow 2.x(using keras).
Multi2oie
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47
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
Macadam
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37
Macadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCN 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Latti
Bert Bilstm Crf
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22
BERT-BiLSTM-CRF的Keras版实现
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