Formal Issues in Natural Language Generation Kees van Deemter *, Ehud Reiter *, and Helmut Horacek † (*) Dept. of Computing Science, University of Aberdeen, UK (†) Universit¨at des Saarlandes, Saarbr¨ucken, Germany

Source URL: homepages.abdn.ac.uk

Automatic Generation of Natural Language Parsers from Declarative Specifications1 Carlos Gómez-Rodríguez a , Jesús Vilares b and Miguel A. Alonso b a

Source URL: coleweb.dc.fi.udc.es

Controlled Natural Language Generation from a Multilingual FrameNet-based Grammar Dana Dannélls, Department of Swedish Normunds Grūzītis, Department of Computer Science and Engineering

Source URL: attempto.ifi.uzh.ch

Conditional generative adversarial nets for convolutional face generation Jon Gauthier Symbolic Systems Program, Natural Language Processing Group Stanford University

Source URL: www.foldl.me

The DIAG experiments: Natural Language Generation for Intelligent Tutoring Systems Barbara Di Eugenio and Michael Glass and Michael J. Trolio Computer Science Department University of Illinois Chicago, IL, 60607, USA

Source URL: nlp.cs.uic.edu

SWAN – Scientific Writing AssistaNt A Tool for Helping Scholars to Write Reader-Friendly Manuscripts http://cs.joensuu.fi/swan/ Tomi Kinnunen∗

Source URL: cs.joensuu.fi

• Language
• Computational linguistics
• Scientific writing
• Natural language processing
• Natural language generation
• Readability
• Abstract
• Outline

Discourse Processing Keywords: language interpretation#language generation#discourse segmentation#discourse relations Contents list: Theories of discourse structure; Interpretation of discourse; Generation of discourse;

Source URL: nlp.cs.uic.edu

• Linguistics
• Academia
• Semantics
• Discourse analysis
• Sociolinguistics
• Applied linguistics
• Natural language processing
• Discourse relation
• Rhetorical Structure Theory
• Discourse
• Anaphora
• Coreference

Aggregation improves learning: experiments in natural language generation for intelligent tutoring systems Barbara Di Eugenio and Davide Fossati and Dan Yu University of Illinois Chicago, IL, 60607, USA {bdieugen,dfossa1

Source URL: nlp.cs.uic.edu

• The Diag
• Aggregation
• Natural language generation
• Intelligent tutoring system
• Theory
• IBM Basic assembly language and successors
• Education
• Language
• Linguistics

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gaˇsi´c, Nikola Mrkˇsi´c, Pei-Hao Su, David Vandyke and Steve Young Cambridge University Engineering

Source URL: www.emnlp2015.org

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Computational neuroscience
• Academia
• Deep learning
• Long short-term memory
• Recurrent neural network
• Sepp Hochreiter
• Vanishing gradient problem
• Speech recognition
• Handwriting recognition

Computational Linguistics Volume 26, Number 2 Lexical Semantics and Knowledge Representation in Multilingual Text Generation

Source URL: nlp.cs.uic.edu

• Linguistics
• Language
• Cognitive science
• Computational linguistics
• Semantics
• Knowledge representation
• Generative linguistics
• Lexical semantics
• Natural language generation
• Lexicon
• Machine translation
• Lexical resource