DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images

1 code implementation • 27 Apr 2024 • Maria Mihaela Trusca, Tinne Tuytelaars, Marie-Francine Moens

Text-based semantic image editing assumes the manipulation of an image using a natural language instruction.

Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control

no code implementations • 21 Apr 2024 • Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm, Robert Honig, Thomas Hofmann, Tinne Tuytelaars, Marie-Francine Moens

Current diffusion models create photorealistic images given a text prompt as input but struggle to correctly bind attributes mentioned in the text to the right objects in the image.

Attribute Sentence +1

Sequence-to-Sequence Spanish Pre-trained Language Models

1 code implementation • 20 Sep 2023 • Vladimir Araujo, Maria Mihaela Trusca, Rodrigo Tufiño, Marie-Francine Moens

In recent years, significant advancements in pre-trained language models have driven the creation of numerous non-English language variants, with a particular emphasis on encoder-only and decoder-only architectures.

Generative Question Answering Natural Language Understanding +1

Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis

1 code implementation • 29 Nov 2021 • Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca

The increasing popularity of the Web has subsequently increased the abundance of reviews on products and services.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification

1 code implementation • 29 Mar 2021 • Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca

Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain sentiment value towards an aspect.

Classification General Classification +3

Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis

1 code implementation • 29 Mar 2021 • Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca

Data augmentation is a way to increase the diversity of available data by applying constrained transformations on the original data.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews

no code implementations • 19 Apr 2020 • Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar

Online reviews are an important source of feedback for understanding customers.

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention

2 code implementations • 18 Apr 2020 • Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker

In this paper we extend the state-of-the-art Hybrid Approach for Aspect-Based Sentiment Analysis (HAABSA) method in two directions.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification

no code implementations • 31 Jan 2020 • Maria Mihaela Trusca, Gerasimos Spanakis

The tiled convolutional neural network (tiled CNN) has been applied only to computer vision for learning invariances.

Classification General Classification +2