Search Results for author: Seyed Mahed Mousavi

Found 6 papers, 1 papers with code

Whats New? Identifying the Unfolding of New Events in Narratives

no code implementations15 Feb 2023 Seyed Mahed Mousavi, Shohei Tanaka, Gabriel Roccabruna, Koichiro Yoshino, Satoshi Nakamura, Giuseppe Riccardi

We publish the annotated dataset, annotation materials, and machine learning baseline models for the task of new event extraction for narrative understanding.

Event Extraction Sentence

Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?

no code implementations25 May 2023 Seyed Mahed Mousavi, Simone Caldarella, Giuseppe Riccardi

Dialogue systems designed for LDs should uniquely interact with the users over multiple sessions and long periods of time (e. g. weeks), and engage them in personal dialogues to elaborate on their feelings, thoughts, and real-life events.

Response Generation Text Generation

Understanding Emotion Valence is a Joint Deep Learning Task

no code implementations27 May 2023 Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi

We further observed that the discriminative model achieves the best trade-off of valence and EC prediction tasks in the joint prediction setting.

Multi-Task Learning

Are LLMs Robust for Spoken Dialogues?

no code implementations4 Jan 2024 Seyed Mahed Mousavi, Gabriel Roccabruna, Simone Alghisi, Massimo Rizzoli, Mirco Ravanelli, Giuseppe Riccardi

Large Pre-Trained Language Models have demonstrated state-of-the-art performance in different downstream tasks, including dialogue state tracking and end-to-end response generation.

Dialogue State Tracking Response Generation

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