Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems (Paperback)
暫譯: 實用自然語言處理:構建實際 NLP 系統的全面指南 (平裝本)

Vajjala, Sowmya, Majumder, Bodhisattwa, Gupta, Anuj

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商品描述

If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide.

Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional machine learning will be apt. As you accumulate more data, more sophisticated--and often data intensive--ML techniques can be used including deep learning. At each step of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.

商品描述(中文翻譯)

如果您想在商業環境中構建、迭代和擴展自然語言處理(NLP)系統,並根據各行各業的需求進行調整,這本書將是您的指南。

考慮在您的組織中構建聊天機器人或文本分類系統的任務。剛開始時,可能幾乎沒有數據可供使用。在這個階段,使用基於規則的系統或傳統機器學習的基本解決方案是合適的。隨著您積累更多數據,可以使用更複雜且通常數據密集的機器學習技術,包括深度學習。在這段旅程的每一步,您可以採取數十種替代方法。本書將幫助您在這些選擇的迷宮中導航。

作者簡介

Sowmya Vajjala has a PhD in Computational Linguistics from University of Tubingen, Germany. She currently works as a research officer at National Research Council, Canada's largest federal research and development organization. Her past work experience spans both academia as a faculty at Iowa State University, USA as well as industry at Microsoft Research and The Globe and Mail.

Bodhisattwa Majumder is a doctoral candidate in NLP and ML at UC San Diego. Earlier he studied at IIT Kharagpur where he graduated summa cum laude. Previously, he built large-scale NLP systems at Google AI Research and Microsoft Research, which went into products serving millions of users. Currently, he is also leading his university team in the Amazon Alexa Prize for 2019-2020.

Anuj Gupta has built NLP and ML systems at Fortune 100 companies as well as startups as a senior leader. He has incubated and led multiple ML teams in his career. He studied computer science at IIT Delhi and IIIT Hyderabad. He is currently Head of Machine Learning and Data Science at Vahan Inc. Above all, he is a father and husband.

Harshit Surana is founder at DeepFlux Inc. He has built and scaled ML systems at several Silicon Valley startups as a founder and an advisor. He studied computer science at Carnegie Mellon University where he worked with the MIT Media Lab on common sense AI. His research in NLP has received over 200 citations.

作者簡介(中文翻譯)

Sowmya Vajjala 擁有德國圖賓根大學的計算語言學博士學位。她目前在加拿大最大的聯邦研究與發展機構——國家研究委員會擔任研究官。她的過去工作經驗涵蓋了學術界,曾在美國愛荷華州立大學擔任教職,以及在微軟研究院和《環球郵報》的產業經驗。

Bodhisattwa Majumder 是加州大學聖地牙哥分校的自然語言處理(NLP)和機器學習(ML)博士候選人。他早期在印度理工學院卡哈拉格普爾校區學習,並以優異的成績畢業。他曾在 Google AI Research 和微軟研究院構建大規模的 NLP 系統,這些系統服務了數百萬用戶。目前,他也在帶領他的學校團隊參加 2019-2020 年的亞馬遜 Alexa 獎。

Anuj Gupta 在《財富》100 強公司及初創企業擔任高級領導,構建了 NLP 和 ML 系統。他在職業生涯中孵化並領導了多個機器學習團隊。他在印度理工學院德里分校和印度信息技術學院海得拉巴分校學習計算機科學。目前,他是 Vahan Inc. 的機器學習和數據科學部門負責人。最重要的是,他是一位父親和丈夫。

Harshit Surana 是 DeepFlux Inc. 的創始人。他在幾家矽谷初創企業擔任創始人和顧問,構建並擴展了機器學習系統。他在卡內基梅隆大學學習計算機科學,並與麻省理工學院媒體實驗室合作研究常識人工智慧。他在自然語言處理方面的研究已獲得超過 200 次引用。