Search Results for author: Jonathan Ginzburg

Found 10 papers, 0 papers with code

Requesting clarifications with speech and gestures

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.

UgChDial: A Uyghur Chat-based Dialogue Corpus for Response Space Classification

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.

Designing a GWAP for Collecting Naturally Produced Dialogues for Low Resourced Languages

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).

Characterizing the Response Space of Questions: a Corpus Study for English and Polish

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.

Dialogue Management Management

Distribution is not enough: going Firther

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.

Word Embeddings

DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

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.

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