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Natural Language Processing

This class was created by Brainscape user Simon Sardorf. Visit their profile to learn more about the creator.

By: Simon Sardorf
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Decks in this class (11)

Lecture 5 - Relation Extraction & Question Answering
What is a relation triple,
Where is relation extraction used,
What is the automated content ext...
24  cards
Lecture 3: Text Classification & Naive Bayes
Text classification takes two thi...,
Text classification produces one ...,
Name some classification methods
19  cards
Lecture 6 - Dialog Systems and Chatbots - Conversational Agents
What are conversational agents gi...,
True or false there are two types...,
What do rule based chatbots use w...
19  cards
Lecture 1 - Basic Text Processing, Regular Expressions, Text Normalization, Edit Distances
Define natural language processing,
Define regular expressions,
Discuss some regex special charac...
11  cards
Lecture 8 - Information Retrieval - Webcrawling
What are some complications with ...,
What _must_ any crawler do,
What is the difference between ex...
25  cards
Lecture 2 - Language Models with N-grams
What are n grams,
What is the goal of language mode...,
What rule can be used to calculat...
21  cards
Lecture 4 - Logistic Regression
What is logistic regression,
Logistic regression can be used t...,
Naive bayes is a model and logist...
20  cards
Lecture 9 - Text Summarization and Topic Modeling
What is the process of summarization,
Why should we automate the summar...,
What can act as an input in a sum...
24  cards
Lecture 10 - Word Vectors and Vector Semantics
What is denotational semantics,
What is the most common solution ...,
What are some downsides of thesau...
21  cards
Lecture 7 - Information Retrieval
An ir system vs database can also...,
Structured data tends to refer to...,
Describe the boolean retrieval model
36  cards
Lecture 11 - Neural Networks
What are the purposes for languag...,
What is the xor problem,
What is one solution to the xor p...
17  cards

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Natural Language Processing

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