Aqqu Question Answering System

This is the code accompanying the publication "More Accurate Question Answering on Freebase, Hannah Bast and Elmar Haussmann, CIKM 2015"

Follow the instructions in QUICKSTART.md to set up the system. This also includes descriptions on how to obtain pre-requisite data, e.g., a complete index of Freebase.

Setup is easy if all pre-requisites are met.

Requirements:

OS: Linux system (tested on Ubuntu 12.04)
Software: Python 2.7 as well as Java 8 + Prerequisites for Virtuoso, see QUICKSTART.md for more details.
RAM: 40 GB for training the large WebQuestions models
Disk: about 40 GB for all pre-requisite data

Name		Name	Last commit message	Last commit date
Latest commit History 109 Commits
.idea		.idea
corenlp-frontend		corenlp-frontend
corenlp_parser		corenlp_parser
entity_linker		entity_linker
evaluation-data		evaluation-data
query_translator		query_translator
results		results
sparql_backend		sparql_backend
text2kb		text2kb
.gitignore		.gitignore
Makefile		Makefile
QUICKSTART.md		QUICKSTART.md
README.md		README.md
aqqu_notebook.ipynb		aqqu_notebook.ipynb
config.cfg		config.cfg
config_palladium.cfg		config_palladium.cfg
config_small.cfg		config_small.cfg
config_webentity.cfg		config_webentity.cfg
config_wikipedia.cfg		config_wikipedia.cfg
console_translator.py		console_translator.py
create_small_datafiles.py		create_small_datafiles.py
diff_runs.py		diff_runs.py
dump_qa_entity_pairs.py		dump_qa_entity_pairs.py
entity_linking.py		entity_linking.py
evaluate.py		evaluate.py
globals.py		globals.py
learn_notable_types.py		learn_notable_types.py
requirements.txt		requirements.txt
scorer_globals.py		scorer_globals.py
setup.py		setup.py
test_cqa_relcounts.py		test_cqa_relcounts.py
test_sparql.py		test_sparql.py
trec_config.cfg		trec_config.cfg

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Aqqu Question Answering System

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