{ "item_title" : "Semisupervised Learning for Computational Linguistics", "item_author" : [" Steven Abney "], "item_description" : "This book provides a broad, accessible treatment of the theory and linguistic applications of semisupervised methods. It presents a brief history of the field before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model. In addition, the book covers clustering, the EM algorithm, related generative methods, and agreement methods. It concludes with the graph-based method of label propagation as well as a detailed discussion of spectral methods.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/36/738/863/0367388634_b.jpg", "price_data" : { "retail_price" : "94.99", "online_price" : "94.99", "our_price" : "94.99", "club_price" : "94.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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