This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The authors first provide background on the topic and em...Lasīt vairāk
This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The authors first provide background on the topic and em...Lasīt vairāk
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presen...Lasīt vairāk
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presen...Lasīt vairāk
This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliability, and significance and provide common s...Lasīt vairāk
This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliability, and significance and provide common s...Lasīt vairāk
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the workin...Lasīt vairāk
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the workin...Lasīt vairāk
This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written...Lasīt vairāk
This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written...Lasīt vairāk
This book explores the cognitive plausibility of computational language models and why its an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational l...Lasīt vairāk
This book explores the cognitive plausibility of computational language models and why its an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational l...Lasīt vairāk
This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors...Lasīt vairāk
This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors...Lasīt vairāk
Sērija : Synthesis Lectures on Human Language Technologies
(Izdošanas datums: 10-Nov-2022, PDF+DRM, Izdevniecība: Springer International Publishing, ISBN-13: 9783031021411)
Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been cond...Lasīt vairāk
Sērija : Synthesis Lectures on Human Language Technologies
(Izdošanas datums: 10-Nov-2022, PDF+DRM, Izdevniecība: Springer International Publishing, ISBN-13: 9783031021619)
Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in...Lasīt vairāk
Sērija : Synthesis Lectures on Human Language Technologies
(Izdošanas datums: 10-Nov-2022, PDF+DRM, Izdevniecība: Springer International Publishing, ISBN-13: 9783031021572)
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latters impact on our daily lives, both on a personal and a profe...Lasīt vairāk
Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault
Sērija : Synthesis Lectures on Human Language Technologies
(Izdošanas datums: 10-Nov-2022, PDF+DRM, Izdevniecība: Springer International Publishing, ISBN-13: 9783031021374)
It has been estimated that over a billion people are using or learning English as a second or foreign language, and the numbers are growing not only for English but for other languages as well. These language learners provide a burgeoning market for...Lasīt vairāk
Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks. We first explore some ways of assigning structure on the document level...Lasīt vairāk
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and...Lasīt vairāk
