Code for the TriviaQA reading comprehension dataset
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Updated
Apr 5, 2024 - Python
Code for the TriviaQA reading comprehension dataset
Machine reading comprehension on clinical case reports
Entrypoint for all backend cape webservices
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.
Python client library for the Cape machine reading API
A simple python package for question answering.
CS382 Natural Language Processing Project: Machine Reading Comprehension
Code and data for the ACL 2020 paper "Machine Reading of Historical Events"
Tensorflow implementation of QANet.
VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.
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