Papers by Enzo Laurenti

2 papers
Speech acts and Communicative Intentions for Urgency Detection (2022.starsem-1)

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Challenge: Existing approaches to detect speech acts (SA) in synchronous and asynchronous dialogues have been proposed to capture communicative intentions on the part of the speaker.
Approach: They propose to annotate tweets with urgency and SA and develop deep learning architectures to inject it into urgency detection.
Outcome: The proposed dataset annotated for urgency and SA improves information type detection in an out-of-type configuration where models are evaluated in unseen event types during training.
Give me your Intentions, I’ll Predict our Actions: A Two-level Classification of Speech Acts for Crisis Management in Social Media (2022.lrec-1)

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Challenge: Using social networks, social media is a vital tool for emergency management and social media has been used to generate valuable information in crisis situations.
Approach: They propose to measure for the first time the role of SA on urgency detection in tweets . they propose to use a two-layer annotation scheme to annotate tweets for both SA and urgency .
Outcome: The proposed scheme combines two-layer annotation scheme and deep learning experiments to detect SA in a crisis corpus.

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