Code for the TriviaQA reading comprehension dataset
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Updated
Apr 5, 2024 - 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.
A simple python package for question answering.
AI powered Ctrl-F using alpha.thecape.ai API
Software created within Accumulate project (www.accumulate.be) at CLiPS, University of Antwerp
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
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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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