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.

It is a question-generator model. It takes text and an answer as input and outputs a question.

A pythonic wrapper for Stanford CoreNLP.

build/run the most current Stanford CoreNLP server in a docker container

Novoic's linguistic feature extraction library

Python bindings for Stanford CoreNLP's protobufs.

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.

🏆 Automatically grade english essays using NLP techniques. (This is not a ML model)

Named Entity Recognition for standard entities and sentiment analysis.

🏆 Automatically grade english essays using NLP techniques (This is not a ML model).

Basic, Integrated, and Reliably Distributed/Dockerized Coding, Actors, and Geolocation for Events

Slack bot for getting weather updates

Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.

Question Answering System - A Q&A system trained to understand the parts of speech of a question. It categorizes the question using NLP concepts and returns a relevant answer by querying the database. This system works for three categories - Music, Movies, Geography Technologies - Python, SQL Packages - CoreNLP parser, NLTK, Wordnet

Semantic Knowledge Base for WSO2 Documentation

A small chatbot written as part of my bachelor thesis.

A competency extractor using CoreNLP dependency parsing and Semgrex