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Concept to clean noisy address data and correct spelling errors. The challenge is to clean noisy data from free texts in table format. This is still a matter of research. But there are some approaches that can lead to the desired outcome. Therefore we build a Language Model that „understands“ the language used based on probabilities. This will be used to improve misspelled inputs and brings it into a canonical format. The Language Model consist of a Lucene word index and a corresponding MultiMap. To improve performance Bloom Filters and caches are considered useful. Additionally we take a classifier to strip all the not needed descriptions from the address information texts. The NeeText instances holds valuable information on texts. NEE means Native Expression Enhancement where „native“ refers to any natural language.
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Concept to clean noisy address data and correct spelling errors. The challenge is to clean noisy data from free texts in table format. This is still a matter of research. But there are some approaches that can lead to the desired outcome. Therefore we build a Language Model that „understands“ the language used based on probabilities. This will be used to improve misspelled inputs and brings it into a canonical format. The Language Model consist of a Lucene word index and a corresponding MultiMap. To improve performance Bloom Filters and caches are considered useful. Additionally we take a classifier to strip all the not needed descriptions from the address information texts. The NeeText instances holds valuable information on texts. NEE means Native Expression Enhancement where „native“ refers to any natural language.
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Concept to clean noisy address data and correct spelling errors. The challenge is to clean noisy data from free texts in table format. This is still a matter of research. But there are some approaches that can lead to the desired outcome. Therefore we build a Language Model that „understands“ the language used based on probabilities. This will be used to improve misspelled inputs and brings it into a canonical format. The Language Model consist of a Lucene word index and a corresponding MultiMap. To improve performance Bloom Filters and caches are considered useful. Additionally we take a classifier to strip all the not needed descriptions from the address information texts. The NeeText instances holds valuable information on texts. NEE means Native Expression Enhancement where „native“ refers to any natural language.
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Singapore and China are physically and population wise on opposite ends of the spectrum. But the state construction of elites facilitates a great deal of collaboration and synthesis. By needing to rely on each other's macroeconomic and facilitative abilities within the Washington Consensus framework. A powerful synthesis is created. However, do they see each other clearly?
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In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
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Mise en scene planning for music video
1.
Mise-en-Scene Planning
2.
LOCATIONS
3.
CHARACTERS Tramp Business man/TrampBusiness man/Tramp’s
wife
4.
COSTUME
5.
PROPS
Download now
