NLP

Resources for interns and new team members at Tangible AI

Bug fixes for the abandoned python Wikipedia project to warn the user when the Wikpedia suggestion engine is corrupting the titles of valid Wikipedia articles. Required for the examples in Natural Language Processing in Action, 2nd Edition by Maria Dyshel and Hobson Lane (and a community of more than 30 contributing authors and editors).

Natural Language Understanding for math symbols, digits, and words with a Gradio user interface and REST API.

Conclusiones Heurísticas de las Solicitudes de Documentación del Portal de Información Pública

Command Line Interface for developers of qary -- the open source, teachable AI assistant that truly assists, rather than manipulating you.

Controversy quantification of topics on twitter, based on user probability to participate in a controversy topic, using GNN and NLP models.

Conversational math active learning for K-12 students (chatbot math tutor).

Docker container for Brat Rapid Annotation Tool

Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications

Machine learning models and API for natural language intent classification.

Collective sense-making and decision-making for your Discord community or DAO (distributed autonomous organization).

Yet another one news recommender for MLOps & Production course by ods.ai

Using Multi-Task Learning for hate speech detection

Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese

Performance Comparison of S-O-T-A, Transformer Based Language Models, like BERT & XLNet in Legal domain. Studying impacts of additional (domain-specific) pre-training on BERT in Legal domain. Exploring impacts of Introducing Legal Vocabulary in BERT.

Extract most relevant Keywords from Web-page to the given list of Sentences or Words

Code for topic modeling and document retrieval. Interfaces with Indexr's web backend. https://www.indexr.us/home

Code implementation for the paper "HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection" (COLING'20).

The project uses natural language processing to automatically assess causal diagrams filled out by students based on semantic distance from the model causal diagram provided.