no code implementations • ACL (mmsr, IWCS) 2021 • Jonathan Ginzburg, Andy Luecking
In multimodal natural language interaction both speech and non-speech gestures are involved in the basic mechanism of grounding and repair.
no code implementations • LREC 2022 • Zulipiye Yusupujiang, Jonathan Ginzburg
In this paper, we introduce a carefully designed and collected language resource: UgChDial – a Uyghur dialogue corpus based on a chatroom environment.
no code implementations • LREC 2020 • Zulipiye Yusupujiang, Jonathan Ginzburg
In this paper we present a new method for collecting naturally generated dialogue data for a low resourced language, (specifically here{---}Uyghur).
no code implementations • WS 2019 • Jonathan Ginzburg, Zulipiye Yusupujiang, Chuyuan Li, Kexin Ren, Pawe{\l} {\L}upkowski
The main aim of this paper is to provide a characterization of the response space for questions using a taxonomy grounded in a dialogical formal semantics.
no code implementations • WS 2019 • Andy L{\"u}cking, Robin Cooper, Staffan Larsson, Jonathan Ginzburg
Much work in contemporary computational semantics follows the distributional hypothesis (DH), which is understood as an approach to semantics according to which the meaning of a word is a function of its distribution over contexts which is represented as vectors (word embeddings) within a multi-dimensional semantic space.
no code implementations • LREC 2016 • Julian Hough, Ye Tian, Laura de Ruiter, Simon Betz, Spyros Kousidis, David Schlangen, Jonathan Ginzburg
We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese.