Demo Data from VLDB 2026 / reviewers in the wild / expert
Victor Chahuneau
dblp:117/4057
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 3 first-authorHuman-computer interaction and ubiquitous computing · 1
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 |
Machine translation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Machine translation
morphologically rich languages |
0.2 | 1 | 2013 | Translating into Morphologically Rich Languages with Synthetic Phrases · EMNLP 2013 |
Natural language and speech › Machine translation
statistical machine translation |
0.2 | 1 | 2013 | Translating into Morphologically Rich Languages with Synthetic Phrases · EMNLP 2013 |
Methods — techniques the papers use, named apart from their topics
discriminative model · 0.2bayesian morphology model · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Designing the Behavior of Interactive ObjectsabstractTo design proactive and autonomous interactive objects, designers deal with the design of the object's behavior. In this paper, we propose a design method, called Personality, to help designers develop interactive objects' behaviors with a focus on aesthetics of interaction; the method focuses on tangible and bodily interaction, and it includes four main steps. The "unguided improvisation" step consists of an initial interplay with the interactive object in order to size up the interaction; a brainstorming step, in which we use stereotypes of personalities to create metaphors, to support the discussion around, and the description of, possible behaviors; the "guided improvisation" step iterates over several improvisation sessions to act out interaction scenarios and behaviors; and the behavior synthesis step, in which we provide a final description of the object's behavior. To illustrate Personality we will describe the sofa-bot case study. We will report a lab study, in which we observed people reaction to the different behaviors of the sofa. Marco Spadafora, Victor Chahuneau, Nikolas Martelaro, David Sirkin, Wendy Ju |
TEI | 2 |
| 2013 | Translating into Morphologically Rich Languages with Synthetic PhrasesabstractTranslation into morphologically rich languages is an important but recalcitrant problem in MT.We present a simple and effective approach that deals with the problem in two phases.First, a discriminative model is learned to predict inflections of target words from rich source-side annotations.Then, this model is used to create additional sentencespecific word-and phrase-level translations that are added to a standard translation model as "synthetic" phrases.Our approach relies on morphological analysis of the target language, but we show that an unsupervised Bayesian model of morphology can successfully be used in place of a supervised analyzer.We report significant improvements in translation quality when translating from English to Russian, Hebrew and Swahili. Victor Chahuneau, Eva Schlinger, Noah A. Smith, Chris Dyer |
EMNLP | 1 |
| 2013 | Knowledge-Rich Morphological Priors for Bayesian Language Models
Victor Chahuneau, Noah A. Smith, Chris Dyer |
HLT-NAACL | 1 |
| 2013 | A Simple, Fast, and Effective Reparameterization of IBM Model 2
Chris Dyer, Victor Chahuneau, Noah A. Smith |
HLT-NAACL | 2 |
| 2012 | Word Salad: Relating Food Prices and Descriptions
Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, Noah A. Smith |
EMNLP-CoNLL | 1 |