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I need to understand the various symbols which are used in ER diagrams. For example, I saw below ER diagram in the net:
There are many symbols used in this diagram which I am not aware of. Is there any good material where I can gain clarity on what the meaning of there symbols are?
These are Crow's Feet Notation. Use to show the relation between entities.
Crow's Feet Notation
Link Description
Crow's Feet Notation Symbol with Description.
First google result : ER Diagram Symbols And Meaning
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I'm looking for a framework like below that can be used with swift.
What do you recommend?
https://github.com/diasks2/pragmatic_segmenter
Thank you.
You can use the built in apple NSLinguisticTagger provided that it covers the languages you need. One of the tags it can recognize is a sentence.
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I am a sort of newbie to NLP world.
But anyway, I have just started my NLP project.
My task is about inferring hidden sentence in a paragraph.
Let me show you an example question.
a multiple choice question about inferring a clause in the blank
I want my machine learning model to extract some meaningful phrase from the given text(in above image, a paragraph)
I know that my question sounds quite ambiguous for you all. I just want to know even a small clue.
Thank you for your response in advance.
Skip-thought vectors are a system for predicting sentences from a context, by essentially constructing sentence-wide vectors. Might be useful, especially so in combination with context2vec if you want to build a custom model.
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I need to extract text from articles online for an ios app I am developping. Is there something similar to goose that extracts just the article from the html for Swift?
It's very interesting subject. I'm not pretty sure, but it seems to be not an easy job to do. Recently Ivan Titov told about "Inducing Semantic Representations from Text with Little or No Supervision." You can see this presentation here: https://events.yandex.ru/lib/talks/2728/ (in English.)
So, our team recently took part in Swift-hackathon by CocoaHeads Moscow for this subject, but not very good result were earned. We developed recursive grabber and other cool things, but can't attain the goal. If you want to contribute to that project, look at this repo: https://github.com/CocoaHeadsMsk/hawking
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Does anyone know of a table somewhere for relative frequencies of not just letters, but also punctuation/special characters? I need to use the table to set the letter frequencies for my Huffman code key generation algorithm, but in over half an hour googling I have been unable to find anything that gives a comparison between letters and special characters (I have found letter tables, and I even found one comparing just special characters, but nothing to compare them with each other).
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I am looking for NLP capable library or API which will be able to identify number, date, person, place name, and parts of speech from a given sentence.
NSLinguisticTagger will do this. Introduced in iOS 5.
You should try Nuance SDK for iOS. You also can try CMU (open source) but quality is pretty low, especially for conditions with noisy environments.
It seems like you're looking for named entity recognition. You could use Boost Spirit for parsing.