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my_match_model

主要用于实现短文本的匹配问题

mysitedjango-

Django快速入门示例

naive-bayes-document-classifier

Document Classification in python and C++ with help from the Natural Language Toolkit, using Multinomial and Bernoulli Naive Bayes Classifiers and experimenting with various feature selectors.

nalgene

Natural language generation language

named-entity-extraction

named entity extraction

named-entity-extraction-1

Multi-label named entity extraction using SVM

named-entity-recognition

Named entity recognition using deep learning

named-entity-recognition-1

This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (changing path in config file) to train the model and score it on new corpus.

named-entity-recognition-2

1st description

named-entity-recognition-3

Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

named-entity-recognition-4

named-entity-recognition-in-java

A simple example on Named Entity Recognition in Java

named_entity_extraction

named entity extraction

namedentitiestesi

Class work. Named entities extraction from text files.

namedentity_realtion_extraction

基于句法分析的命名实体关系抽取程序

narrativeqa

nat-acl2020

natlang

NatLang is an English parser with an extensible grammar

natural-answer-generation

natural-language-processing

natural-language-processing-1

Projects on parsing and analyzing Natural Language

natural-language-queries-classification

The objective of this repository is to classify natural language queries into some clusters. These clusters are formed by combing throught their equivalent SPARQL queries and using an unsupervised mechanism

natural-language-query-system

Dialogue system that allows you to submit some simple facts and then ask questions about them.

natural-language-query-system-1

A Natural Language Query System in Python/NLTK

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

natural_language_query

Functions to convert Natural Language Queries to SPARQL queries for RDF.

nbest-reranker

Re-rank n-best lists using additional features.

nbgraph

Inline, interactive graphs inside jupyter/ipython notebooks

ncov_sentiment

疫情期间网民情绪识别比赛baseline，使用BERT进行端到端的fine-tuning，datafountain平台，平台评测F1值0.716。

nef-rbm

An RBM pretrained using the Neural Engineering Framework