Difference between revisions of "Smart Context Generation for Disambiguation to Wikipedia"
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| + | {{Infobox work | ||
| + | | title = Smart Context Generation for Disambiguation to Wikipedia | ||
| + | | date = 2018 | ||
| + | | authors = [[Andrey Sysoev]]<br />[[Irina Nikishina]] | ||
| + | | doi = 10.1007/978-3-030-01204-5_2 | ||
| + | | link = https://link.springer.com/chapter/10.1007%2F978-3-030-01204-5_2 | ||
| + | }} | ||
'''Smart Context Generation for Disambiguation to Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Andrey Sysoev]] and [[Irina Nikishina]]. | '''Smart Context Generation for Disambiguation to Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Andrey Sysoev]] and [[Irina Nikishina]]. | ||
== Overview == | == Overview == | ||
Wikification is a crucial NLP task that aims to identify entities in text and disambiguate their meaning. Being partially solved for English, the problem still remains fairly untouched for Russian. In this article authors present a novel approach to Disambiguation to [[Wikipedia]] applied to the Russian language. Inspired by the Neural Machine Translation task method implements encoder-decoder neural network architecture. It translates text tokens into concept embeddings that are subsequently used as context for disambiguation. In order to test hypothesis authors add context [[features]] to GLOW system considered a baseline. Moreover, authors present commonly available dataset for the Disambiguation to Wikipedia task. | Wikification is a crucial NLP task that aims to identify entities in text and disambiguate their meaning. Being partially solved for English, the problem still remains fairly untouched for Russian. In this article authors present a novel approach to Disambiguation to [[Wikipedia]] applied to the Russian language. Inspired by the Neural Machine Translation task method implements encoder-decoder neural network architecture. It translates text tokens into concept embeddings that are subsequently used as context for disambiguation. In order to test hypothesis authors add context [[features]] to GLOW system considered a baseline. Moreover, authors present commonly available dataset for the Disambiguation to Wikipedia task. | ||
Revision as of 10:05, 5 December 2019
Authors | Andrey Sysoev Irina Nikishina |
|---|---|
Publication date | 2018 |
DOI | 10.1007/978-3-030-01204-5_2 |
Links | Original |
Smart Context Generation for Disambiguation to Wikipedia - scientific work related to Wikipedia quality published in 2018, written by Andrey Sysoev and Irina Nikishina.
Overview
Wikification is a crucial NLP task that aims to identify entities in text and disambiguate their meaning. Being partially solved for English, the problem still remains fairly untouched for Russian. In this article authors present a novel approach to Disambiguation to Wikipedia applied to the Russian language. Inspired by the Neural Machine Translation task method implements encoder-decoder neural network architecture. It translates text tokens into concept embeddings that are subsequently used as context for disambiguation. In order to test hypothesis authors add context features to GLOW system considered a baseline. Moreover, authors present commonly available dataset for the Disambiguation to Wikipedia task.
