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