Annalu Waller

Also published as: A. Waller


2014

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Proceedings of the 5th Workshop on Speech and Language Processing for Assistive Technologies
Jan Alexandersson | Dimitra Anastasiou | Cui Jian | Ani Nenkova | Rupal Patel | Frank Rudzicz | Annalu Waller | Desislava Zhekova
Proceedings of the 5th Workshop on Speech and Language Processing for Assistive Technologies

2012

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Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
Jan Alexandersson | Peter Ljunglöf | Kathleen F. McCoy | Brian Roark | Annalu Waller
Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies

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Applying Prediction Techniques to Phoneme-based AAC Systems
Ha Trinh | Annalu Waller | Keith Vertanen | Per Ola Kristensson | Vicki L. Hanson
Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies

2010

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Using NLG and Sensors to Support Personal Narrative for Children with Complex Communication Needs
Rolf Black | Joseph Reddington | Ehud Reiter | Nava Tintarev | Annalu Waller
Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies

2009

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Using NLG to Help Language-Impaired Users Tell Stories and Participate in Social Dialogues
Ehud Reiter | Ross Turner | Norman Alm | Rolf Black | Martin Dempster | Annalu Waller
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

2006

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Building a Lexical Database for an Interactive Joke-Generator
R. Manurung | D. O’Mara | H. Pain | G. Ritchie | A. Waller
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

As part of a project to construct an interactive program which will encourage children to play with language by building jokes, we have developed a large lexical database, closely based on WordNet. As well as the standard WordNet information about part of speech, synonymy, hyponymy, etc, we have added phonetic representations and symbolic links allowing attachment of pictures. All information is represented in a relational database, allowing powerful searches using SQL via a Java API. The lexicon has a facility to label subsets of the lexicon with symbolic names, and we are working to incorporate some educationally relevant word lists as sublexicons. This should also allow us to improve the familiarity ratings which the lexicon assigns to words.

2004

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A Computational Model of Emergent Simple Syntax: Supporting the Natural Transition from the One-Word Stage to the Two-Word Stage
Kris Jack | Chris Reed | Annalu Waller
Proceedings of the Workshop on Psycho-Computational Models of Human Language Acquisition