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Tonio Wandmacher

dblp:96/4221 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › language modeling
word prediction
0.112007
Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component · EMNLP-CoNLL 2007

Methods — techniques the papers use, named apart from their topics

semantic information integration · 0.1
YearPublicationVenuePosition
2009 Automatic Acquisition of the
Ekaterina Ovchinnikova, Theodore Alexandrov, Tonio Wandmacher
EMNLP3
2009 A Computational Model for Visual Metaphors. Interpreting Creative Visual Advertisements
Angela Schwering, Kai-Uwe Kühnberger, Ulf Krumnack, Helmar Gust, Tonio Wandmacher, Bipin Indurkhya, Amitash Ojha
ICAART5
2007 SIBYLLE: a system for alternative communication adapting to the context and its user
abstract
In this paper, we describe the latest version of SIBYLLE, an AAC system that permits persons suffering from severe physical disabilities to enter text with any computer application and also to compose messages to be read out by a speech synthesis module. The system consists of a virtual keyboard comprising a set of keypads which allow entering characters or full words by a single-switch selection process. It also comprises a sophisticated word prediction component which dynamically calculates the most appropriate words for a given context. This component is auto-adaptive, i.e. it learns on every text the user has entered. It thus adapts its predictions to the user's language and the current topic of communication as well. So far the system works for French, German and English. Earlier versions of SIBYLLE have been used since 2001 in the Kerpape rehabilitation center (Brittany, France).
Tonio Wandmacher, Jean-Yves Antoine, Franck Poirier
ASSETS1
2007 Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
Tonio Wandmacher, Jean-Yves Antoine
EMNLP-CoNLL1
2006 Training Language Models without Appropriate Language Resources: Experiments with an AAC System for Disabled People
Tonio Wandmacher, Jean-Yves Antoine
LREC1