activity
20172019
most citedAffective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?

5 citations · 5 across the 1 of their papers we have counts for

collaborators

6 papers

cs.HC20195 cited

Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?

Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone +2

The increase in the prevalence of mental health problems has coincided with a growing popularity of health related social networking sites. Regardless of their therapeutic potentia…

cs.CL2019

Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning

Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto +3

Natural Language Understanding (NLU) models are typically trained in a supervised learning framework. In the case of intent classification, the predicted labels are predefined and…

cs.CL2018

Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development

Jacopo Gobbi, Evgeny Stepanov, Giuseppe Riccardi

Concept tagging is a type of structured learning needed for natural language understanding (NLU) systems. In this task, meaning labels from a domain ontology are assigned to word s…

cs.CL2018

Coherence Models for Dialogue

Alessandra Cervone, Evgeny Stepanov, Giuseppe Riccardi

Coherence across multiple turns is a major challenge for state-of-the-art dialogue models. Arguably the most successful approach to automatically learning text coherence is the ent…

cs.CL2018

ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents

Stefano Mezza, Alessandra Cervone, Giuliano Tortoreto +2

Dialogue Act (DA) tagging is crucial for spoken language understanding systems, as it provides a general representation of speakers' intents, not bound to a particular dialogue sys…

cs.CV2017

Depression Severity Estimation from Multiple Modalities

Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury +4

Depression is a major debilitating disorder which can affect people from all ages. With a continuous increase in the number of annual cases of depression, there is a need to develo…