Kovas Boguta kovasb

Key-Value Memory Networks for Directly Reading Documents

Knowledge Bases (KBs) are effective tools for Question Answering (QA) but are often too restrictive (due to fixed schema) and too sparse (due to limitations of Information Extraction (IE) systems).
The paper proposes Key-Value Memory Networks, a neural network architecture based on Memory Networks that can leverage both KBs and raw data for QA.
The paper also introduces MOVIEQA, a new QA dataset that can be answered by a perfect KB, by Wikipedia pages and by an imperfect KB obtained using IE techniques thereby allowing a comparison between systems using any of the three sources.
Link to the paper.

duplicates = multiple editions

	# Download installers
	mkdir ~/Downloads/nvidia
	cd ~/Downloads/nvidia
	wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
	wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.59/NVIDIA-Linux-x86_64-384.59.run
	sudo chmod +x NVIDIA-Linux-x86_64-384.59.run
	sudo chmod +x cuda_8.0.61_375.26_linux-run
	./cuda_8.0.61_375.26_linux-run -extract=~/Downloads/nvidia/
	# Uninstall old stuff
	sudo apt-get --purge remove nvidia-*

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	"This NS has functionality for interop between jython and clojure"
	(:require [clojure.tools.logging :as log]
	[clojure.pprint :refer [pprint]]
	[slingshot.slingshot :refer [throw+ try+]])
	(:import [org.python.core
	Py
	JyAttribute
	PyString
	PyInteger