(Q31769808)

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End-to-end Representation Learning for Question Answering with Weak Supervision

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End-to-end Representation Learning for Question Answering with Weak Supervision (English)

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sponsor

German Research Foundation

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This work has been supported by the German Research Foundation as part of the QA-EduInf project (grant GU 798/18-1 and grant RI 803/12-1) (English)

Nvidia

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We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research. (English)

main subject

question answering

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Wikidata

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convolutional neural network

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weakly supervised learning

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2

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Daniil Sorokin

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Daniil Sorokin

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English

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publication date

2017

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number of pages

5

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WebQuestions

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We take the WebQuestions data set (English)

QALD2017 Task 4: English question answering over Wikidata

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Stanford CoreNLP

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We tokenize the input and add part-of-speech tags to it with the Stanford CoreNLP toolkit (English)

Wikidata

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we evaluate each representation against Wikidata (English)

cites work

Semantic Parsing on Freebase from Question-Answer Pairs

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(Q31769808)

End-to-end Representation Learning for Question Answering with Weak Supervision

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