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anystyle-parser

fast and smart citation reference parsing

attribute_charge

The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".

decodinglaw

Deep learning for legal domain

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

legal-ner

Named entity recognition for the legal domain

legal-text-mining

Experiments classifying legal documents into their sub-categories: e.g. civil law, criminal law or administrative law. Classifiers used: k-Nearest Neighbours linear Support Vector Machine Random Forest Convolutional Neural Network Long Short Term Memory Neural Network

legal_judgment_prediction_bilstm_att

Legal Juegment Prediction (LJP) with BiLSTM and Attention

legalkgseu

法律知识图谱网站。A legal knowledge graph web project.

legalsearch

Legal text search engine that uses semantic search algorithm in order to find related keywords and sort the results by relevance.

legaltextextraction

leglove

Legal domain-specific word vectors, trained with GloVe on a corpus of legal documents.

lexpredict-lexnlp

LexNLP by LexPredict

openie-standalone

parse_legalfile

解析中文裁判文书

summarization

Implementation of different summarization algorithms applied to legal case judgements.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

unt_hpc

This repo is designed for the University of North Texas (UNT) High Performance Computing (HPC) - Data Science & Analytics (DSA). It containes short tutorials, code snippets and notebooks and other info on how to use the UNT supercomputer for data science.

word2vec

Automatically exported from code.google.com/p/word2vec