Scipediacontent: Scipediacontent moved page Draft Content 201409337 to Vyas et al 2018a

2021-01-28T16:46:27Z

Scipediacontent moved page Draft Content 201409337 to Vyas et al 2018a

Scipediacontent: Created page with " == Abstract == Question answering (QA) systems provide user-friendly interfaces for retrieving answers from structured and unstructured data given natural language questions..."

2021-01-28T16:46:24Z

Created page with " == Abstract == Question answering (QA) systems provide user-friendly interfaces for retrieving answers from structured and unstructured data given natural language questions..."

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== Abstract ==

Question answering (QA) systems provide user-friendly interfaces for retrieving answers from structured and unstructured data given natural language questions. Several QA systems, as well as related components, have been contributed by the industry and research community in recent years. However, most of these efforts have been performed independently from each other and with different focuses, and their synergies in the scope of QA have not been addressed adequately. FRANKENSTEIN is a novel framework for developing QA systems over knowledge bases by integrating existing state-of-the-art QA components performing different tasks. It incorporates several reusable QA components, employs machine learning techniques to predict best performing components and QA pipelines for a given question, and generates static and dynamic executable QA pipelines. In this paper, we illustrate different functionalities of FRANKENSTEIN for performing independent QA component execution, QA component prediction, given an input question as well as the static and dynamic composition of different QA pipelines.

== Original document ==

The different versions of the original document can be found in:

* [http://publica.fraunhofer.de/documents/N-520283.html http://publica.fraunhofer.de/documents/N-520283.html]

* [http://dl.acm.org/ft_gateway.cfm?id=3210175&ftid=1982912&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=3210175&ftid=1982912&dwn=1],
: [http://dx.doi.org/10.1145/3209978.3210175 http://dx.doi.org/10.1145/3209978.3210175] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [https://dblp.uni-trier.de/db/conf/sigir/sigir2018.html#SinghLRVV18 https://dblp.uni-trier.de/db/conf/sigir/sigir2018.html#SinghLRVV18],
: [https://academic.microsoft.com/#/detail/2799162826 https://academic.microsoft.com/#/detail/2799162826]

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Vyas et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 201409337 to Vyas et al 2018a

Scipediacontent: Created page with " == Abstract == Question answering (QA) systems provide user-friendly interfaces for retrieving answers from structured and unstructured data given natural language questions..."