47 citations · 107 across the 15 of their papers we have counts for
4 papers · 1 filter
Towards a Fully Unsupervised Framework for Intent Induction in Customer Support Dialogues
Rita Costa, Bruno Martins, Sérgio Viana +1
State of the art models in intent induction require annotated datasets. However, annotating dialogues is time-consuming, laborious and expensive. In this work, we propose a complet…
LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting
Rita Ramos, Bruno Martins, Desmond Elliott
Multilingual image captioning has recently been tackled by training with large-scale machine translated data, which is an expensive, noisy, and time-consuming process. Without requ…
Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers
Gonçalo Azevedo Mendes, Bruno Martins
The analysis of emotions expressed in text has numerous applications. In contrast to categorical analysis, focused on classifying emotions according to a pre-defined set of common…
Retrieval-augmented Image Captioning
Rita Ramos, Desmond Elliott, Bruno Martins
Inspired by retrieval-augmented language generation and pretrained Vision and Language (V&L) encoders, we present a new approach to image captioning that generates sentences given…