A Neural QA Model for DBpedia about gsoc HOT 20 CLOSED

Thank you @abhinavralhan for sharing the bug and thanks @gyanesh-m for fixing it.

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@mommi84 is the better person to explain that :)

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@abhinavralhan Hi! I added a link in the project description.

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@abhinavralhan Hi, I faced a similar issue. The problem is due to incorrect data directory passed to ask.sh. Currently it is data/monument_300_model. You need to change the input directory for ask.sh to data/monument_300 .

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Added example of successful project proposal. Once ready, please invite my username at gmail dot com to your proposal document.

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The GSoC 2018 student applications are officially open! Please elaborate your proposal in a Google doc. When you're done, share it with my username at gmail.com, so I can invite also the other mentors. Deadline: March 27.

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Sounds interesting! I will have a look on this after my exams.

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@mgns Hi. This sounds very interesting to me. I had a few queries to ask though.

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You are welcome to ask them here.

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@RicardoUsbeck Yeah so I was attempting the Warmup tasks. Can you please explain how should I attempt the second task?

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@mommi84 a little problem with the last inference bit. I got past most problems except this one I cannot understand. So I ran the command below, but for some reason vocab file is not getting generated. I'm guessing it has to do with something in the ask.sh file.

sudo sh ask.sh data/monument_300_model "where is edward vii monument located in?"

Traceback (most recent call last):
File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/abhinavralhan/Desktop/os/NSpM/nmt/nmt/nmt.py", line 495, in
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 124, in run
_sys.exit(main(argv))
File "/home/abhinavralhan/Desktop/os/NSpM/nmt/nmt/nmt.py", line 488, in main
run_main(FLAGS, default_hparams, train_fn, inference_fn)
File "/home/abhinavralhan/Desktop/os/NSpM/nmt/nmt/nmt.py", line 452, in run_main
hparams = create_or_load_hparams(out_dir, default_hparams, flags.hparams_path)
File "/home/abhinavralhan/Desktop/os/NSpM/nmt/nmt/nmt.py", line 418, in create_or_load_hparams
hparams = extend_hparams(hparams)
File "/home/abhinavralhan/Desktop/os/NSpM/nmt/nmt/nmt.py", line 350, in extend_hparams
unk=vocab_utils.UNK)
File "nmt/utils/vocab_utils.py", line 66, in check_vocab
raise ValueError("vocab_file does not exist.")
ValueError: vocab_file does not exist.
train_prefix=None
dev_prefix=None
test_prefix=None
out_dir=../data/monument_300_model_model

ANSWER IN SPARQL SEQUENCE:
cat: output.txt: No such file or directory

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@mommi84 Hi, I have been trying to build some queries for dbo:EducationalInstitution class and I had a doubt related to query templates. In all the examples mentioned in annotations_monument.csv, the initial statement

    ?a a dbo:Monument 

was never used. Is it because you have already specified the domain for <A> in first column. Also, If I plan to use the initial statement for my example class in query template, will it be fine ?

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Hey @gyanesh-m,
No you don't need to explicitly add that. prepare_generator_query adds the "initial statement" to the generator queries.

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@piyush96chawla Oh , thanks.

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Interesting project! I have started working on it already.

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Only 6 days to go!

Please share your document with us now, if you would like to have some feedback from the mentors before the final submission to the GSoC console.

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@mommi84 I have completed my warmup task by training the NSpM model on class dbo:Garden.
I have experience in QA, deep learning, and I really appreciate and like the idea of a Neural QA model. What do you suggest I should do next in order to get ready to write a proposal? Sorry for such a late request for help.

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@amanmehta-maniac Great. Please elaborate your view of the project and your findings in a Google document and share it with me at gmail.com. Use this one as a reference for a good proposal. Send it out on Sunday 25th at the latest, so we can give you some feedback.

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@mommi84, there are around 770 total number of DBpedia classes and hence what would be a realistic 'X', where X is the number of classes that I will train this NN for during the GSoC tenure.
Also, another matter of concern is, will I be getting access to any server, because this project involves training NN which is highly CPU intensive and takes order of hours on 64 core-CPU and 512 GB RAM machine.

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@amanmehta-maniac We expect to have one final QA model, not as many as the number of classes. Moreover, these 770 classes are organized in a taxonomy. We will likely be able to grant the student access to our servers upon availability for a limited time (up to 14 days in a row). Of course, additional hardware provided by the student's institution is welcome.

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