Scipediacontent: Scipediacontent moved page Draft Content 751430387 to Martino et al 2015a

2021-02-03T16:04:44Z

Scipediacontent moved page Draft Content 751430387 to Martino et al 2015a

Scipediacontent: Created page with " == Abstract == hough deep neural networks have been proving to be excellent tools to deliver state-of-the-art results, when data is scarce and the tackled tasks involve comp..."

2021-02-03T16:04:41Z

Created page with " == Abstract == hough deep neural networks have been proving to be excellent tools to deliver state-of-the-art results, when data is scarce and the tackled tasks involve comp..."

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== Abstract ==

hough deep neural networks have been proving to be excellent tools to deliver state-of-the-art results, when data is scarce and the tackled tasks involve complex semantic inference, deep linguistic processing and traditional structure-based approaches, such as tree kernel methods, are an alternative solution. Community Question Answering is a research area that benefits from deep linguistic analysis to improve the experience of the community of forum users. In this paper, we present a UIMA framework to distribute the computation of cQA tasks over computer clusters such that traditional systems can scale to large datasets and deliver fast processing.

== Original document ==

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

* [http://dx.doi.org/10.18653/v1/p18-4023 http://dx.doi.org/10.18653/v1/p18-4023] under the license https://creativecommons.org/licenses/by

* [http://hdl.handle.net/11585/709255 http://hdl.handle.net/11585/709255]

* [https://www.aclweb.org/anthology/P18-4023.pdf https://www.aclweb.org/anthology/P18-4023.pdf]

* [https://dblp.uni-trier.de/db/conf/acl/acl2018-4.html#RomeoMBM18 https://dblp.uni-trier.de/db/conf/acl/acl2018-4.html#RomeoMBM18],
: [https://www.aclweb.org/anthology/P18-4023 https://www.aclweb.org/anthology/P18-4023],
: [https://www.aclweb.org/anthology/P18-4023.pdf https://www.aclweb.org/anthology/P18-4023.pdf],
: [https://aclanthology.coli.uni-saarland.de/papers/P18-4023/p18-4023 https://aclanthology.coli.uni-saarland.de/papers/P18-4023/p18-4023],
: [https://academic.microsoft.com/#/detail/2805001960 https://academic.microsoft.com/#/detail/2805001960] under the license cc-by

* [ ]

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Martino et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 751430387 to Martino et al 2015a

Scipediacontent: Created page with " == Abstract == hough deep neural networks have been proving to be excellent tools to deliver state-of-the-art results, when data is scarce and the tackled tasks involve comp..."