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academic-paper-extract

Extracting references and main components of academic papers

acl-rd-tec-2.0

The ACL RD-TEC 2.0: A corpus of annotated terms in context from domain of computational linguistics

acl2020-transition-discontinuous-ner

attention_ner

Source code for AAAI 2021 paper "A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition""

awesome-joint-specific-domain-relation-extraction

A PyTorch implementation of the models for the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" published in ACL 2020.

bert-ner

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

biaffine-ner

Named Entity Recognition as Dependency Parsing

bigru-crf-with-attention-for-ner

Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF

bilstm-crf

双向lstm+crf 序列标注

biobert

BioBERT: a pre-trained biomedical language representation model

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

citation-context-summarization

An algorithm for extractive summarization of citation contexts of a paper based on C-LexRank

cnn_sentence

CNNs for sentence classification

cnn_text_classify

CNN实现文本分类，详细信息参见：http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

cnntopic

Using CNN for prediction of Emerging Hot Topic. Moreover, using word2vec and doc2vec for word embedding

contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

crossvalidation

Cross validation of CRF++

ctmsa

correlated topic model with sentence attention

data-liberation-resources

liberate all kinds of data from PDF and other unstructural format and make the information machine-readable and visualizeable for popular tools.

de-nmt

Discourse-Enhanced Neural Machine Translation

deep-learning

这个主要是参考《零基础入门机器学习》中的示例代码，在学习过程中，手动实现了一篇文章中介绍的代码。参考网址为：https://www.zybuluo.com/hanbingtao/note/433855

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepie

DeepIE: Deep Learning for Information Extraction

dl_graphentity_project

GCN and BERT for relation extraction

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

dslab

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

entity-extractions-in-wet-lab-protocols

Entity Extractions in wet lab protocols, MaxEnt/BiLSTM-CRF/SciBert/Actor-Critic