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09/06/2023
FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests
Nowadays, many people frequently have to search for new accommodation op...
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06/27/2023
UniUD Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023
In this report, we present the technical details of our submission to th...
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06/08/2023
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction
Adverse Event (ADE) extraction is one of the core tasks in digital pharm...
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05/08/2023
Computation of Rate-Distortion-Perception Function under f-Divergence Perception Constraints
In this paper, we study the computation of the rate-distortion-perceptio...
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04/03/2023
Learning Sparsity of Representations with Discrete Latent Variables
Deep latent generative models have attracted increasing attention due to...
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10/21/2022
Generalizing over Long Tail Concepts for Medical Term Normalization
Medical term normalization consists in mapping a piece of text to a larg...
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09/28/2022
Learning to Explain Graph Neural Networks
Graph Neural Networks (GNNs) are a popular class of machine learning mod...
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09/07/2022
AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles
This paper describes the models developed by the AILAB-Udine team for th...
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09/06/2022
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation
In the last decade, an increasing number of users have started reporting...
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08/03/2022
A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval
Every hour, huge amounts of visual contents are posted on social media a...
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07/10/2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
With Human-Centric Research (HCR) we can steer research activities so th...
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06/22/2022
UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022
This report presents the technical details of our submission to the EPIC...
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04/27/2022
Relevance-based Margin for Contrastively-trained Video Retrieval Models
Video retrieval using natural language queries has attracted increasing ...
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03/16/2022
Learning video retrieval models with relevance-aware online mining
Due to the amount of videos and related captions uploaded every hour, de...
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09/21/2021
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations
Adverse Drug Event (ADE) extraction models can rapidly examine large col...
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07/25/2021
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
Recently, the misinformation problem has been addressed with a crowdsour...
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05/19/2021
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
In recent years, Internet users are reporting Adverse Drug Events (ADE) ...
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08/13/2020
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Misinformation is an ever increasing problem that is difficult to solve ...
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10/09/2019
Text-to-Image Synthesis Based on Machine Generated Captions
Text to Image Synthesis refers to the process of automatic generation of...
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09/21/2018
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining
Internet users generate content at unprecedented rates. Building intelli...
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06/26/2017
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention
Image captioning has been recently gaining a lot of attention thanks to ...
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11/29/2016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Data-driven saliency has recently gained a lot of attention thanks to th...
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09/05/2016
A Deep Multi-Level Network for Saliency Prediction
This paper presents a novel deep architecture for saliency prediction. C...
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07/28/2016
Video Registration in Egocentric Vision under Day and Night Illumination Changes
With the spread of wearable devices and head mounted cameras, a wide ran...
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07/02/2014
