1 code implementation • 27 Jul 2018 • Jacopo Gobbi, Evgeny Stepanov, Giuseppe Riccardi
The third contribution is the release of a repository of the algorithms, datasets and recipes for NLU evaluation.
Natural Language Understanding Vocal Bursts Valence Prediction
1 code implementation • 21 Jun 2018 • Alessandra Cervone, Evgeny Stepanov, Giuseppe Riccardi
Nevertheless, both the original grid and its extensions do not model intents, a crucial aspect that has been studied widely in the literature in connection to dialogue structure.
no code implementations • 10 Nov 2017 • Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury, Arindam Ghosh, Radu-Laurentiu Vieriu, Nicu Sebe, Giuseppe Riccardi
In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develop automatic methods for the detection of depression.
no code implementations • WS 2017 • Shammur Absar Chowdhury, Evgeny Stepanov, Morena Danieli, Giuseppe Riccardi
It is also observed that sometimes long silences can be used deliberately to get a forced response from another speaker thus making silence a multi-functional and an important catalyst towards information flow.
no code implementations • WS 2017 • Karan Singla, Evgeny Stepanov, Ali Orkan Bayer, Giuseppe Carenini, Giuseppe Riccardi
Summarization of spoken conversations is a challenging task, since it requires deep understanding of dialogs.
no code implementations • WS 2016 • Fabio Celli, Evgeny Stepanov, Massimo Poesio, Giuseppe Riccardi
On June 23rd 2016, UK held the referendum which ratified the exit from the EU.
no code implementations • LREC 2016 • Morena Danieli, Balamurali A.R, Evgeny Stepanov, Benoit Favre, Frederic Bechet, Giuseppe Riccardi
Annotating and predicting behavioural aspects in conversations is becoming critical in the conversational analytics industry.
no code implementations • LREC 2016 • Shammur Absar Chowdhury, Evgeny Stepanov, Giuseppe Riccardi
In this paper we test the utility of the ISO standard through comparative evaluation of the corpus-specific legacy and the semi-automatically transferred DiAML DA annotations on supervised dialogue act classification task.
no code implementations • LREC 2014 • Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer
We discuss the challenges of the manual creation of multilingual corpora, as well as present the algorithms for the creation of multilingual SLU via Statistical Machine Translation (SMT).