zshot
NCRFpp
zshot | NCRFpp | |
---|---|---|
2 | 1 | |
320 | 1,877 | |
2.5% | - | |
6.6 | 0.0 | |
2 months ago | almost 2 years ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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zshot
NCRFpp
-
Speech and Language Processing (3rd ed. draft)
They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.
What are some alternatives?
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
bllip-parser - BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
GoLLIE - Guideline following Large Language Model for Information Extraction
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
nn-morse - Decode morse using a neural network
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
pytorch-partial-crf - CRF, Partial CRF and Marginal CRF in PyTorch