Items related to Linguistic Structure Prediction (Synthesis Lectures...
Synopsis
A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference
"synopsis" may belong to another edition of this title.
About the Author
Noah A. Smith is an assistant professor in the Language Technologies Institute and Machine Learning Department at the School of Computer Science at Carnegie Mellon University. He received his Ph.D. in Computer Science from Johns Hopkins University (2006) and his B.S. in Computer Science and B.A. in Linguistics from the University of Maryland (2001). He was awarded a Hertz Foundation fellowship (2001-2006), served on the DARPA Computer Science Study Panel (2007) and the editorial board of the journal Computational Linguistics, and received a best paper award from the Association for Computational Linguistics (2009) and an NSF CAREER grant (2011). His research interests include statistical natural language processing, especially unsupervised methods, machine learning for structured data, and applications of natural language processing.
"About this title" may belong to another edition of this title.
Search results for Linguistic Structure Prediction (Synthesis Lectures...
Seller Image
Linguistic Structure Prediction
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 44571091-n
Quantity: Over 20 available
Stock Image
Linguistic Structure Prediction (Synthesis Lectures on Human Language Technologies)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020035046
Quantity: Over 20 available
Stock Image
Linguistic Structure Prediction (Paperback)
Published by
Springer International Publishing AG, Cham, 2011
ISBN 10: 3031010159
ISBN 13: 9783031010156
New
Paperback
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031010156
Quantity: 1 available
Seller Image
Linguistic Structure Prediction (Paperback or Softback)
Published by
Springer 6/1/2011, 2011
ISBN 10: 3031010159
ISBN 13: 9783031010156
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Linguistic Structure Prediction 1.04. Book. Seller Inventory # BBS-9783031010156
Quantity: 5 available
Stock Image
Linguistic Structure Prediction (Synthesis Lectures on Human Language Technologies)
Seller: Best Price, Torrance, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. SUPER FAST SHIPPING. Seller Inventory # 9783031010156
Quantity: 1 available
Seller Image
Linguistic Structure Prediction
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 44571091
Quantity: Over 20 available
Stock Image
Linguistic Structure Prediction (Synthesis Lectures on Human Language Technologies)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783031010156_new
Quantity: Over 20 available
Stock Image
Linguistic Structure Prediction
Seller: Chiron Media, Wallingford, United Kingdom
Seller rating 4 out of 5 stars
PF. Condition: New. Seller Inventory # 6666-IUK-9783031010156
Quantity: 10 available
Seller Image
Linguistic Structure Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 44571091-n
Quantity: Over 20 available
Seller Image
Linguistic Structure Prediction
Published by
Springer International Publishing Jun 2011, 2011
ISBN 10: 3031010159
ISBN 13: 9783031010156
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference 272 pp. Englisch. Seller Inventory # 9783031010156
Quantity: 2 available