6 citations · 13 across the 9 of their papers we have counts for
10 papers
Fuzzy Fingerprinting Encoder Pre-trained Language Models for Emotion Recognition in Conversations: Human Assessment and Validity Study
Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho
In Emotion Recognition in Conversations (ERC), model decisions should align with nuanced human perception and ideally provide insights on the classification process. Standard encod…
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve
Patrícia Pereira, Anders Lansner, Pawel Herman
The human lifespan retrieval curve describes the proportion of recalled memories from each year of life. It exhibits a reminiscence bump - a tendency for aged people to better reca…
ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations
Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho
Empathy and emotion prediction are key components in the development of effective and empathetic agents, amongst several other applications. The WASSA shared task on empathy and em…
Dialogue Quality and Emotion Annotations for Customer Support Conversations
John Mendonça, Patrícia Pereira, Miguel Menezes +6
Task-oriented conversational datasets often lack topic variability and linguistic diversity. However, with the advent of Large Language Models (LLMs) pretrained on extensive, multi…
Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations
Patrícia Pereira, Rui Ribeiro, Helena Moniz +2
Fuzzy Fingerprints have been successfully used as an interpretable text classification technique, but, like most other techniques, have been largely surpassed in performance by Lar…
Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation
John Mendonça, Patrícia Pereira, Helena Moniz +3
Despite significant research effort in the development of automatic dialogue evaluation metrics, little thought is given to evaluating dialogues other than in English. At the same…