Серия &quot;Synthesis Lectures on Human Language Technologies&quot;

Deep Learning Approaches to Text Production

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Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of...

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Natural Language Processing for Soc...

Natural Language Processing for Social Media

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Grammatical Inference for Computati...

Jeffrey Heinz

Grammatical Inference for Computational Linguistics

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Jeffrey Heinz

Dependency Parsing

Sandra Kubler

Dependency Parsing

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Sandra Kubler

Spoken Dialogue Systems

Kristina Jokinen

Spoken Dialogue Systems

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Kristina Jokinen

Introduction to Linguistic Annotati...

Graham Wilcock

Introduction to Linguistic Annotation and Text Analytics

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Graham Wilcock

Deep Learning Approaches to Text Pr...

Deep Learning Approaches to Text Production

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Statistical Significance Testing fo...

Statistical Significance Testing for Natural Language Processing

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Linguistic Structure Prediction

Noah A. Smith

Linguistic Structure Prediction

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Noah A. Smith

Bitext Alignment

Jörg Tiedemann

Bitext Alignment

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Jörg Tiedemann

Natural Language Processing for His...

Michael Piotrowski

Natural Language Processing for Historical Texts

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Michael Piotrowski

Introduction to Arabic Natural Lang...

Nizar Y. Habash

Introduction to Arabic Natural Language Processing

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Nizar Y. Habash

Natural Language Processing for Soc...

Natural Language Processing for Social Media

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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 latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large...

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Semi-Supervised Learning and Domain...

Anders Søgaard

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

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Anders Søgaard

Computational Modeling of Human Lan...

Afra Alishahi

Computational Modeling of Human Language Acquisition

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Afra Alishahi

Linguistic Fundamentals for Natural...

Emily M. Bender

Linguistic Fundamentals for Natural Language Processing

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Emily M. Bender

Ontology-Based Interpretation of Na...

Christina Unger

Ontology-Based Interpretation of Natural Language

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Christina Unger

Statistical Significance Testing fo...

Statistical Significance Testing for Natural Language Processing

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Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as...

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