Linked Lexical Knowledge Bases. Iryna Gurevych

Чтение книги онлайн.

Читать онлайн книгу Linked Lexical Knowledge Bases - Iryna Gurevych страница

Linked Lexical Knowledge Bases - Iryna Gurevych Synthesis Lectures on Human Language Technologies

Скачать книгу

      

       Linked Lexical Knowledge Bases

       Foundations and Applications

       Synthesis Lectures on Human Language Technologies

      Editor

       Graeme Hirst, University of Toronto

      Synthesis Lectures on Human Language Technologies is edited by Graeme Hirst of the University of Toronto. The series consists of 50- to 150-page monographs on 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.

      Linked Lexical Knowledge Bases: Foundations and Applications

      Iryna Gurevych, Judith Eckle-Kohler, and Michael Matuschek

      2016

      Syntax-based Statistical Machine Translation

      Philip Williams, Rico Sennrich, Matt Post, and Philipp Koehn

      2016

      Bayesian Analysis in Natural Language Processing

      Shay Cohen

      2016

      Metaphor: A Computational Perspective

      Tony Veale, Ekaterina Shutova, and Beata Beigman Klebanov

      2016

      Grammatical Inference for Computational Linguistics

      Jeffrey Heinz, Colin de la Higuera, and Menno van Zaanen

      2015

      Automatic Detection of Verbal Deception

      Eileen Fitzpatrick, Joan Bachenko, and Tommaso Fornaciari

      2015

      Natural Language Processing for Social Media

      Atefeh Farzindar and Diana Inkpen

      2015

      Semantic Similarity from Natural Language and Ontology Analysis

      Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, and Jacky Montmain

      2015

      Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition

      Hang Li

      2014

      Ontology-Based Interpretation of Natural Language

      Philipp Cimiano, Christina Unger, and John McCrae

      2014

      Automated Grammatical Error Detection for Language Learners, Second Edition

      Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault

      2014

      Web Corpus Construction

      Roland Schäfer and Felix Bildhauer

      2013

      Recognizing Textual Entailment: Models and Applications

      Ido Dagan, Dan Roth, Mark Sammons, and Fabio Massimo Zanzotto

      2013

      Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax

      Emily M. Bender

      2013

      Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

      Anders Søgaard

      2013

      Semantic Relations Between Nominals

      Vivi Nastase, Preslav Nakov, Diarmuid Ó Séaghdha, and Stan Szpakowicz

      2013

      Computational Modeling of Narrative

      Inderjeet Mani

      2012

      Natural Language Processing for Historical Texts

      Michael Piotrowski

      2012

      Sentiment Analysis and Opinion Mining

      Bing Liu

      2012

      Discourse Processing

      Manfred Stede

      2011

      Bitext Alignment

      Jörg Tiedemann

      2011

      Linguistic Structure Prediction

      Noah A. Smith

      2011

      Learning to Rank for Information Retrieval and Natural Language Processing

      Hang Li

      2011

      Computational Modeling of Human Language Acquisition

      Afra Alishahi

      2010

      Introduction to Arabic Natural Language Processing

      Nizar Y. Habash

      2010

      Cross-Language Information Retrieval

      Jian-Yun Nie

      2010

      Automated Grammatical Error Detection for Language Learners

      Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault

      2010

      Data-Intensive Text Processing with MapReduce

      Jimmy Lin and Chris Dyer

      2010

      Semantic Role Labeling

      Martha Palmer, Daniel Gildea, and Nianwen Xue

      2010

      Spoken

Скачать книгу