8 citations · 23 across the 6 of their papers we have counts for
13 papers
Understood in Translation, Transformers for Domain Understanding
Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos +1
Knowledge acquisition is the essential first step of any Knowledge Graph (KG) application. This knowledge can be extracted from a given corpus (KG generation process) or specified…
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
Modestas Filipavicius, Matteo Manica, Joris Cadow +1
Less than 1% of protein sequences are structurally and functionally annotated. Natural Language Processing (NLP) community has recently embraced self-supervised learning as a power…
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Emile Chapuis, Pierre Colombo, Matteo Manica +2
Sequence labelling tasks like Dialog Act and Emotion/Sentiment identification are a key component of spoken dialog systems. In this work, we propose a new approach to learn generic…
PaccMann on SARS-CoV-2: Designing antiviral candidates with conditional generative models
Jannis Born, Matteo Manica, Joris Cadow +4
With the fast development of COVID-19 into a global pandemic, scientists around the globe are desperately searching for effective antiviral therapeutic agents. Bridging systems bio…
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
Pierre Colombo, Emile Chapuis, Matteo Manica +3
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents. Accurately predicting DAs requires a precise…
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
Pierre Colombo, Emile Chapuis, Matteo Manica +3
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents. Accurately predicting DAs requires a precise…