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About CS 224D: Deep Learning For NLP: Lecture Notes: Part II Spring 2016
This document discusses intrinsic and extrinsic evaluations of word vectors generated by techniques like Word2Vec. It describes intrinsic evaluation as evaluating word vectors on specific intermediate tasks like word analogies, which provides a fast way to tune hyperparameters. Extrinsic evaluation involves evaluating word vectors on the final task. Word vector analogies are discussed as a popular intrinsic evaluation, along with caveats when analogies involve ambiguity.
Detailed Information
| Author: | ['George Sakr'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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