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evals

evaluate word2vec, doc2vec, topic2vec, etc

extractor

A pytorch version of ACL 2020 paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" https://arxiv.org/abs/1909.03227

genre

Autoregressive Entity Retrieval

gensim_lda

LDA visualization of scientific papers referencing gensim

gibbsldapy

A python type of GibbsLDA++

graph-pointer-network

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

hyspa

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction

joint-extraction-of-entities-and-relations-based-on-a-novel-tagging-scheme

Joint Extraction of Entities and Relations Based on cnn+rnn

joint-extraction-with-lm-and-att

joint_ner_re

keyphrase-extraction

Code for semeval 2017 task 10

lda

熟悉LDA工具的使用，主要是调用已有的接口和复现源代码。

lda2vec

lda2vec-tf

tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings

learning-spot

Some implementations of popular learning models...

lstm_lda

Combining LDA with LSTM network

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

multimodal-information-bottleneck

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations (MIB for multimodal sentiment analysis)

multiple-relations-extraction-only-look-once

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

naacl2019-literary-entities

Code to support Bamman et al. (2019), "An Annotated Dataset of Literary Entities" (NAACL)

nctu-deep-learning

ner-slot_filling

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

nested-ner-tacl2020-transformers

Implementation of Nested Named Entity Recognition using BERT

nested_named_entities

neural-relation-extraction

Data and Meterials for paper "Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations"

nlp_summary

自然语言处理

nmf_nyt

Topic Modeling for The New York Times News Dataset

nonnegative-matrix-factorization

Topic modeling using NMF for HN data.