Human Language Technologies

SERIES EDITOR: Graeme Hirst, University of Toronto
The series publishes topics relating to natural language processing, computational linguistics, information retrieval, and spoken language understanding. Emphasis is on important new techniques, on new applications, and on topics that combine two or more HLT subfields.

Series ISSN: 1947-4040 (print) 1947-4059 (electronic)



Automatic Text Simplification Automatic Text Simplification
Horacio Saggion
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written (its vocabulary, its syntax) can be difficult to read and u...
Publication Date: April, 2017

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Neural Network Methods for Natural Language Processing Neural Network Methods for Natural Language Processing
Yoav Goldberg
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...
Publication Date: April, 2017

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Syntax-based Statistical Machine Translation Syntax-based Statistical Machine Translation
Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn
This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based...
Publication Date: August, 2016

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Domain-Sensitive Temporal Tagging Domain-Sensitive Temporal Tagging
Jannik Stroetgen, Michael Gertz
This book covers the topic of temporal tagging, the detection of temporal expressions and the normalizationof their semantics to some standard format. It places a special focus on the challenges and opportunities of domain-sensitive temporal tagging....
Publication Date: July, 2016

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Linked Lexical Knowledge Bases Linked Lexical Knowledge Bases
Iryna Gurevych, Judith Eckle-Kohler, Michael Matuschek
This book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB) and sheds light on their different aspects from various perspectives, focusing on their construction and use in natural language processing (NLP). It characterizes a wide ran...
Publication Date: July, 2016

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Bayesian Analysis in Natural Language Processing Bayesian Analysis in Natural Language Processing
Shay Cohen
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...
Publication Date: June, 2016

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Metaphor Metaphor
Tony Veale, Ekaterina Shutova, Beata Beigman Klebanov
This book is a comprehensive approach to the computational treatment of metaphor and its figurative brethren (simile, analogy, and conceptual blending) without shying away from their cognitive and philosophical dimensions. While stopping by significa...
Publication Date: February, 2016

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Grammatical Inference for Computational Linguistics Grammatical Inference for Computational Linguistics
Jeffrey Heinz, Colin de la Higuera, Menno van Zaanen
This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective. Grammatical inference provides principled methods for developing computationally so...
Publication Date: October, 2015

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Automatic Detection of Verbal Deception Automatic Detection of Verbal Deception
Eileen Fitzpatrick, Joan Bachenko, Tommaso Fornaciari
A growing field in computer applications is the use of algorithms to spot the lie. The most promising area within this field is the analysis of the language of the liar since speakers effectively control only the meaning they wish to convey, but not ...
Publication Date: September, 2015

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Natural Language Processing for Social Media Natural Language Processing for Social Media
Atefeh Farzindar, Diana Inkpen
This book presents the state-of-the-art in research and empirical studies in the field of Natural Language Processing (NLP) for the semantic analysis of social media data. Over the past few years, online social networking sites have revolutionized th...
Publication Date: August, 2015

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Semantic Similarity from Natural Language and Ontology Analysis Semantic Similarity from Natural Language and Ontology Analysis
Sebastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments; most of which demand high cognitive skills (e.g. learning or decision processes). Central to ...
Publication Date: May, 2015

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Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition
Hang Li,
Learning to rank refers to machine learning techniques for training a 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 conduc...
Publication Date: 10/01/2014

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Ontology-Based Interpretation of Natural Language Ontology-Based Interpretation of Natural Language
Philipp Cimiano, Christina Unger, John McCrae
For humans, understanding a natural language sentence or discourse is so effortless that we hardly ever think about it. For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has prov...
Publication Date: 03/01/2014

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Automated Grammatical Error Detection for Language Learners, Second Edition Automated Grammatical Error Detection for Language Learners, Second Edition
Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault,
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 ...
Publication Date: 02/01/2014

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Web Corpus Construction Web Corpus Construction
Roland Schafer, Felix Bildhauer
The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are severa...
Publication Date: 07/01/2013

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Recognizing Textual Entailment Recognizing Textual Entailment
Ido Dagan, Dan Roth, Fabio Massimo Zanzotto, Mark Sammons
In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing wh...
Publication Date: 07/01/2013

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Linguistic Fundamentals for Natural Language Processing Linguistic Fundamentals for Natural Language Processing
Emily M. Bender,
Many NLP tasks have at their core a subtask of extracting the dependencies (who did what to whom) from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, ...
Publication Date: 06/01/2013

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Semi-Supervised Learning and Domain Adaptation in Natural Language Processing Semi-Supervised Learning and Domain Adaptation in Natural Language Processing
Anders Sogaard,
This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled da...
Publication Date: 05/01/2013

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Semantic Relations Between Nominals Semantic Relations Between Nominals
Vivi Nastase, Preslav Nakov, Diarmuid O Seaghdha, Stan Szpakowicz
People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in...
Publication Date: 04/01/2013

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Sentiment Analysis and Opinion Mining Sentiment Analysis and Opinion Mining
Bing Liu,
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is als...
Publication Date: 01/01/2012

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