Semi-Supervised Learning and Domain Adaptation in Natural Language Processing (Synthesis Lectures on Human Language Technologies)

4 avg rating
( 1 ratings by GoodReads )
 
9781608459858: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing (Synthesis Lectures on Human Language Technologies)

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. Table of Contents: Introduction / Supervised and Unsupervised Prediction / Semi-Supervised Learning / Learning under Bias / Learning under Unknown Bias / Evaluating under Bias

"synopsis" may belong to another edition of this title.

Top Search Results from the AbeBooks Marketplace

1.

Anders Sogard
Published by Morgan and Claypool (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Quantity Available: > 20
Print on Demand
Seller
PBShop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description Morgan and Claypool, 2013. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 26.49
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

2.

Anders Sogard, Anders Sogaard
Published by Morgan Claypool, United States (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository US
(London, United Kingdom)
Rating
[?]

Book Description Morgan Claypool, United States, 2013. Paperback. Book Condition: New. 226 x 185 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Table of Contents: Introduction / Supervised and Unsupervised Prediction / Semi-Supervised Learning / Learning under Bias / Learning under Unknown Bias / Evaluating under Bias. Bookseller Inventory # APC9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 34.79
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

3.

Anders Sogard, Anders Sogaard
Published by Morgan Claypool, United States (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description Morgan Claypool, United States, 2013. Paperback. Book Condition: New. 226 x 185 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Table of Contents: Introduction / Supervised and Unsupervised Prediction / Semi-Supervised Learning / Learning under Bias / Learning under Unknown Bias / Evaluating under Bias. Bookseller Inventory # APC9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 35.70
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Sogaard, Anders
Published by Morgan & Claypool Publishers (2017)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 20
Print on Demand
Seller
Murray Media
(North Miami Beach, FL, U.S.A.)
Rating
[?]

Book Description Morgan & Claypool Publishers, 2017. Paperback. Book Condition: New. This item is printed on demand. Bookseller Inventory # 1608459853

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 32.81
Convert Currency

Add to Basket

Shipping: US$ 2.99
Within U.S.A.
Destination, Rates & Speeds

5.

Anders Sogard
Published by Morgan and Claypool (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Quantity Available: > 20
Print on Demand
Seller
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Morgan and Claypool, 2013. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 27.65
Convert Currency

Add to Basket

Shipping: US$ 11.50
From United Kingdom to U.S.A.
Destination, Rates & Speeds

6.

Anders Sogaard
Published by Morgan & Claypool
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 20
Seller
BuySomeBooks
(Las Vegas, NV, U.S.A.)
Rating
[?]

Book Description Morgan & Claypool. Paperback. Book Condition: New. Paperback. 104 pages. Dimensions: 8.9in. x 7.3in. x 0.3in.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. Table of Contents: Introduction Supervised and Unsupervised Prediction Semi-Supervised Learning Learning under Bias Learning under Unknown Bias Evaluating under Bias This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 38.42
Convert Currency

Add to Basket

Shipping: US$ 3.95
Within U.S.A.
Destination, Rates & Speeds

7.

Sogaard, Anders
Published by Morgan & Claypool Publishers (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 1
Seller
Irish Booksellers
(Rumford, ME, U.S.A.)
Rating
[?]

Book Description Morgan & Claypool Publishers, 2013. Paperback. Book Condition: New. book. Bookseller Inventory # 1608459853

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 45.99
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

8.

Sogaard, Anders
Published by Morgan & Claypool (2013)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 2
Seller
Revaluation Books
(Exeter, United Kingdom)
Rating
[?]

Book Description Morgan & Claypool, 2013. Paperback. Book Condition: Brand New. 1st edition. 104 pages. 9.00x7.50x0.50 inches. In Stock. Bookseller Inventory # x-1608459853

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 39.62
Convert Currency

Add to Basket

Shipping: US$ 7.67
From United Kingdom to U.S.A.
Destination, Rates & Speeds

9.

Sogaard, Anders
Published by Morgan & Claypool Publishers
ISBN 10: 1608459853 ISBN 13: 9781608459858
New PAPERBACK Quantity Available: > 20
Seller
Russell Books
(Victoria, BC, Canada)
Rating
[?]

Book Description Morgan & Claypool Publishers. PAPERBACK. Book Condition: New. 1608459853 Special order direct from the distributor. Bookseller Inventory # ING9781608459858

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 40.50
Convert Currency

Add to Basket

Shipping: US$ 7.00
From Canada to U.S.A.
Destination, Rates & Speeds

10.

Sogard, Anders
Published by Morgan & Claypool Publishers (2016)
ISBN 10: 1608459853 ISBN 13: 9781608459858
New Paperback Quantity Available: 1
Print on Demand
Seller
Ria Christie Collections
(Uxbridge, United Kingdom)
Rating
[?]

Book Description Morgan & Claypool Publishers, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9781608459858_lsuk

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 44.95
Convert Currency

Add to Basket

Shipping: US$ 4.24
From United Kingdom to U.S.A.
Destination, Rates & Speeds

There are more copies of this book

View all search results for this book