There are 3 repositories under corenlp topic.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
Python interface to CoreNLP using a bidirectional server-client interface.
A Natural Language Date Time Parser that Extract date and time from text with context and parse to the required format
A JavaFX based desktop search application.
It is a question-generator model. It takes text and an answer as input and outputs a question.
专注于解决自然语言处理领域的几个核心问题:词法分析,句法分析,语义分析,语种检测,信息抽取,文本聚类和文本分类. 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了多种自然语言处理算法,适配了多个自然语言处理框架. 兼容Lucene/Solr/ElasticSearch插件.
Stanford CoreNLP in idiomatic Clojure.
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
.NET NLP library
build/run the most current Stanford CoreNLP server in a docker container
Transformer-based approaches for an efficient docstrings generation on a piece of Python's code.
PipelineIE is a project that contains a pipeline for information extraction (currently triple) from free text and domain specific text (eg. biomedical domain) and also supports custom models making it flexible to support other domains. It takes care of coreference resolution and entity resolution by also allowing to test with different tools.
An input box that provides feedback to the user about the sentiment of their text
Nifi Stanford CoreNLP Processor
Introducing Natural Language Processing (NLP) with jupyter notebooks.
Implementation of event chains extraction algorithm using Dependency Parsing & Coreference Resolution of CoreNLP
🏆 Automatically grade english essays using NLP techniques. (This is not a ML model)
Optional part of the Tock toolkit based on Stanford CoreNLP library
CoreNLP extractors for Stardog
A semantic law interpreter for the English translations for the German criminal law (StGB)
CoreNLPClient.Net is a C# client for CoreNLP Java Server. I try to mimic the syntax and interface of the Stanza Python client whenever possible
Use R and parts-of-speech tagging to explore the Qur'an in Arabic
Named Entity Recognition for standard entities and sentiment analysis.
Sentence parsing tools; create sentence parse trees & extract portions of sentences
This repository demonstrates the use of Stanford CoreNLP library for doing NLP tasks such as Sentiment Analysis and Named Entity Recognition
Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.