Examples of communication with stanza.io library by XMPP protocol, as jasmine unit tests

A javascript library that helps you apply animation on every single letter or character present inside of a container. Comes in handy when you wish to draw attention of the user.

Using Stanford's CoreNLP, 'stanza', module to convert scraped reviews (TripAdvisor - Airlines) into CoNLL formatted .tsv files (for a sequence labelling task)

A rule-based RE

Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files

Cisco Jabber Log Viewer

ThamizhiPOSt - A neural based POS tagger for Tamil

ML project for predicting Swedish research projects compliance to the UN's Sustainable Development Goals

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.

Ainized Stanford NLP Python Library for Many Human Languages

Modern XMPP client. Let's reinvent XMPP!

The implementation of HDSKG using BERT model

unsupervised process of identifying topics in a set of persian songs by LDA method of topic modelling

NLU: Unsupervised Intent Inference

An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

Plugin for use with https://github.com/legastero/stanza to enable publishing with options.

Novoic's linguistic feature extraction library

Rust-based Natural Language Toolkit using Python Bindings

The aim of the project is to extract from Natural Language relevant semantic informations. The input text is divided into triples (Subject - Relation - Object). WordNet here is used to get the meaning of relation and DBpedia is used to extract information from subject and object.

script de entrenamiento de un chatbot con nltk