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Dependency Based Embeddings for Sentence Classification Tasks Alexandros Dominos Department of Computer Science University of York, YO10 5GH United Kingdom ak1153×York.ac.ukAbstract2010), and as

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What is dependency based embeddings for?

Dependency based embeddings are used to capture the relationship between words in a sentence, where the meaning of each word is based on its dependency on other words.

Who is required to file dependency based embeddings for?

Researchers, data scientists, and natural language processing practitioners may utilize dependency based embeddings for various NLP tasks.

How to fill out dependency based embeddings for?

Dependency based embeddings can be filled out by utilizing pre-trained models or by training your own embeddings using annotated data.

What is the purpose of dependency based embeddings for?

The purpose of dependency based embeddings is to improve the accuracy of natural language processing tasks by capturing syntactic and semantic relationships between words in a sentence.

What information must be reported on dependency based embeddings for?

Dependency based embeddings typically report the word vectors representing each word in a sentence, along with the syntactic dependencies between words.

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