PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11

PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis

This paper describes the system submitted by the PRHLT-UPV team for the task 8 of SemEval-2020: Memotion Analysis. We propose a multimodal model that combines pretrained models of the BERT and VGG architectures. The BERT…

UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering

In this work we describe the system built for the three English subtasks of the SemEval 2016 Task 3 by the Department of Computer Science of the University of Houston (UH) and the Pattern Recognition and Human Language T…

PRHLT Submission to the WMT12 Quality Estimation Task

PRHLT-UPV at SemEval-2020 Task 12: BERT for Multilingual Offensive Language Detection

The present paper describes the system submitted by the PRHLT-UPV team for the task 12 of SemEval-2020: OffensEval 2020. The official title of the task is Multilingual Offensive Language Identification in Social Media, a…

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts

In many real-world pattern recognition scenarios, such as in medical applications, the corresponding classification tasks can be of an imbalanced nature. In the current study, we focus on binary, imbalanced classificatio…