Code for the TriviaQA reading comprehension dataset
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Updated
Aug 22, 2019 - Python
Code for the TriviaQA reading comprehension dataset
Entrypoint for all backend cape webservices
Machine reading comprehension on clinical case reports
Knowledge pills on Neural Search
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.
Code and data for the ACL 2020 paper "Machine Reading of Historical Events"
AI powered Ctrl-F using alpha.thecape.ai API
Python client library for the Cape machine reading API
Software created within Accumulate project (www.accumulate.be) at CLiPS, University of Antwerp
A simple python package for question answering.
Tensorflow implementation of QANet.
CS382 Natural Language Processing Project: Machine Reading Comprehension
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