How Long to Read Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

How Long Does it Take to Read Semi-Supervised Learning and Domain Adaptation in Natural Language Processing?

It takes the average reader 1 hour and 34 minutes to read Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders Søgaard

Assuming a reading speed of 250 words per minute. Learn more

Description

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of-speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees ("this algorithm never does too badly") than about useful rules of thumb ("in this case this algorithm may perform really well"). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant.

How long is Semi-Supervised Learning and Domain Adaptation in Natural Language Processing?

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders Søgaard is 93 pages long, and a total of 23,529 words.

This makes it 31% the length of the average book. It also has 29% more words than the average book.

How Long Does it Take to Read Semi-Supervised Learning and Domain Adaptation in Natural Language Processing Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 8 minutes to read Semi-Supervised Learning and Domain Adaptation in Natural Language Processing aloud.

What Reading Level is Semi-Supervised Learning and Domain Adaptation in Natural Language Processing?

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Semi-Supervised Learning and Domain Adaptation in Natural Language Processing?

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders Søgaard is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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