9 citations · 48 across the 13 of their papers we have counts for
15 papers
Assisting News Media Editors with Cohesive Visual Storylines
Gonçalo Marcelino, David Semedo, André Mourão +3
Creating a cohesive, high-quality, relevant, media story is a challenge that news media editors face on a daily basis. This challenge is aggravated by the flood of highly relevant…
Knowledge-driven Answer Generation for Conversational Search
Mariana Leite, Rafael Ferreira, David Semedo +1
The conversational search paradigm introduces a step change over the traditional search paradigm by allowing users to interact with search agents in a multi-turn and natural fashio…
BERT Embeddings Can Track Context in Conversational Search
Rafael Ferreira, David Semedo, Joao Magalhaes
The use of conversational assistants to search for information is becoming increasingly more popular among the general public, pushing the research towards more advanced and sophis…
Open-Domain Conversational Search Assistant with Transformers
Rafael Ferreira, Mariana Leite, David Semedo +1
Open-domain conversational search assistants aim at answering user questions about open topics in a conversational manner. In this paper we show how the Transformer architecture ac…
Cross-Modal Subspace Learning with Scheduled Adaptive Margin Constraints
David Semedo, João Magalhães
Cross-modal embeddings, between textual and visual modalities, aim to organise multimodal instances by their semantic correlations. State-of-the-art approaches use maximum-margin m…
Diachronic Cross-modal Embeddings
David Semedo, João Magalhães
Understanding the semantic shifts of multimodal information is only possible with models that capture cross-modal interactions over time. Under this paradigm, a new embedding is ne…
A Benchmark of Visual Storytelling in Social Media
Gonçalo Marcelino, David Semedo, André Mourão +3
Media editors in the newsroom are constantly pressed to provide a "like-being there" coverage of live events. Social media provides a disorganised collection of images and videos t…
Modeling Temporal Evidence from External Collections
Flávio Martins, João Magalhães, Jamie Callan
Newsworthy events are broadcast through multiple mediums and prompt the crowds to produce comments on social media. In this paper, we propose to leverage on this behavioral dynamic…
Temporal Cross-Media Retrieval with Soft-Smoothing
David Semedo, João Magalhães
Multimedia information have strong temporal correlations that shape the way modalities co-occur over time. In this paper we study the dynamic nature of multimedia and social-media…
Inferring User Gender from User Generated Visual Content on a Deep Semantic Space
David Semedo, João Magalhães, Flávio Martins
In this paper we address the task of gender classification on picture sharing social media networks such as Instagram and Flickr. We aim to infer the gender of an user given only a…
Ranking News-Quality Multimedia
Gonçalo Marcelino, Ricardo Pinto, João Magalhães
News editors need to find the photos that best illustrate a news piece and fulfill news-media quality standards, while being pressed to also find the most recent photos of live eve…
A Vertical PRF Architecture for Microblog Search
Flávio Martins, João Magalhães, Jamie Callan
In microblog retrieval, query expansion can be essential to obtain good search results due to the short size of queries and posts. Since information in microblogs is highly dynamic…
Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content
Gonçalo Mordido, João Magalhães, Sofia Cavaco
Using solely the information retrieved by audio fingerprinting techniques, we propose methods to treat a possibly large dataset of user-generated audio content, that (1) enable the…
Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting
Gonçalo Mordido, João Magalhães, Sofia Cavaco
The increase of the quantity of user-generated content experienced in social media has boosted the importance of analysing and organising the content by its quality. Here, we propo…
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank
Flávio Martins, João Magalhães, Jamie Callan
In Twitter, and other microblogging services, the generation of new content by the crowd is often biased towards immediacy: what is happening now. Prompted by the propagation of co…