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This repository contains the code accompanying the paper "Neural Turing Machines for the Remaining Useful Life estimation problem", accepted for publication in Computers In Industry.
This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create a good dataset for QA system training, and achieve a scale which helps Neural Network based QA Systems too. We do this mostly by converting the query into a pseudo natural…
Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer pairs elicited from MTurk workers and annotated with Wikidata question and answer entities. Full details on the Mintaka dataset can be found in our paper:…
Empowering RAG with a memory-based data interface for all-purpose applications!
The main features of qhjqhj00/memorag are: Memory Systems, Evaluation Benchmarks.
Projects with overlapping indexed features include: aranciokov/ntm-for-rulestimation — This repository contains the code accompanying the paper "Neural Turing Machines for the Remaining Useful Life… asknowqa/lc-quad — This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create… dki-lab/grailqa — This repository is structured as follows:. facebookresearch/atlas — REPO NO LONGER MAINTAINED, RESEARCH CODE PROVIDED AS IT IS. facebookresearch/xlm — PyTorch original implementation of Cross-lingual Language Model Pretraining. amazon-science/mintaka — Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer…
