547 Open source projects that are alternatives of or similar to fairseq-tagging

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch

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CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

paribhasha.herokuapp.com/

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

reference pytorch code for named entity tagging

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Developer friendly Natural Language Processing ✨

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My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

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.

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

My GitHub blog: things you might be interested, and probably not...

Empower Sequence Labeling with Task-Aware Language Model

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)

Sequence Labeling in Tensorflow

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

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、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 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 ta…

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

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Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

A simple zero-dependency React component for tagging user-defined entities within a block of text.

Tools for loading file-based configuration files and mapping them with Guice's ``@Named`` and more

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

A Dataset of German Legal Documents for Named Entity Recognition

UDAR Does Accented Russian: A finite-state morphological analyzer of Russian that handles stressed wordforms.

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

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一套针对中文实体识别的BLSTM-CRF解决方案

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Named Entity Recognition for biomedical entities

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Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

RippleTagger identifies part-of-speech tags (Nouns, Verbs, and so on...). You give it a sentence, it gives you a list of tags back.

Natural language processing (NLP) newsletter right on GitHub

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

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Compare six baseline deep learning models on TrecQA

Sentiment Analysis: Deep Bi-LSTM+attention model

No description or website provided.

Multi Strategy Trading Algorithm

🔦 Qualitative Research support tools in Python

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.