47 citations · 107 across the 15 of their papers we have counts for
16 papers
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…
SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation
Rita Ramos, Bruno Martins, Desmond Elliott +1
Recent advances in image captioning have focused on scaling the data and model size, substantially increasing the cost of pre-training and finetuning. As an alternative to large mo…
Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments
Valerio Carruba, Safwan Aljbaae, Gabriel Caritá +2
The asteroidal main belt is crossed by a web of mean-motion and secular resonances, that occur when there is a commensurability between fundamental frequencies of the asteroids and…
Question rewriting? Assessing its importance for conversational question answering
Gonçalo Raposo, Rui Ribeiro, Bruno Martins +1
In conversational question answering, systems must correctly interpret the interconnected interactions and generate knowledgeable answers, which may require the retrieval of releva…
Retrieval Augmentation for Deep Neural Networks
Rita Parada Ramos, Patrícia Pereira, Helena Moniz +2
Deep neural networks have achieved state-of-the-art results in various vision and/or language tasks. Despite the use of large training datasets, most models are trained by iteratin…
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval
Luís Borges, Bruno Martins, Jamie Callan
Our work aimed at experimentally assessing the benefits of model ensembling within the context of neural methods for passage reranking. Starting from relatively standard neural mod…
IDEAIS: Smart Voice Assistants to Improve Interaction with SDIs
Miguel Ángel Bernabé, Jacinto Estima, María Ester González +6
A critical goal, is that organizations and citizens can easily access the geographic information required for good governance. However, despite the costly efforts of governments to…
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Luís Borges, Bruno Martins, Pável Calado
Fake news are nowadays an issue of pressing concern, given their recent rise as a potential threat to high-quality journalism and well-informed public discourse. The Fake News Chal…
Learning to Rank Academic Experts in the DBLP Dataset
Catarina Moreira, Bruno Martins, Pável Calado
Expert finding is an information retrieval task that is concerned with the search for the most knowledgeable people with respect to a specific topic, and the search is based on doc…
Using Rank Aggregation for Expert Search in Academic Digital Libraries
Catarina Moreira, Bruno Martins, Pável Calado
The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approache…
Towards the Rapid Development of a Natural Language Understanding Module
Catarina Moreira, Ana Cristina Mendes, Luísa Coheur +1
When developing a conversational agent, there is often an urgent need to have a prototype available in order to test the application with real users. A Wizard of Oz is a possibilit…
Learning to Rank for Expert Search in Digital Libraries of Academic Publications
Catarina Moreira, Pável Calado, Bruno Martins
The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approache…
Improving an Hybrid Literary Book Recommendation System through Author Ranking
Paula Cristina Vaz, David Martins de Matos, Bruno Martins +1
Literary reading is an important activity for individuals and choosing to read a book can be a long time commitment, making book choice an important task for book lovers and public…