machine-reading

Code for the TriviaQA reading comprehension dataset

Entrypoint for all backend cape webservices

Machine reading comprehension on clinical case reports

A Database-based knowledge back-end built on and for INDRA. The INDRA Database is a service that can be set up by any user with their own content and knowledge access. Our implementation of the database is the back-end to many of our projects, providing a vast and detailed knowledge base derived from many resources.

Progressive agentic reading harness: sentence maps, bounded chunks, Chronicle Markdown books, packets, validation. Python CLI + Next.js demo. MIT.

A simple python package for question answering.

Code and data for the ACL 2020 paper "Machine Reading of Historical Events"

Python client library for the Cape machine reading API

Tensorflow implementation of QANet.

CS382 Natural Language Processing Project: Machine Reading Comprehension

VIOLIN (Versatile Interaction Organizing to Leverage Information in Networks) is a configurable, attribute-aware reconciliation framework that formally compares new interaction lists against structured baseline graphs, enabling systematic knowledge integration.