Summarization is a challenging problem, and even more challenging is to manually create,
correct, and evaluate the summaries. The severity of the problem grows when the inputs are …

Supervised machine learning has become the cornerstone of today's data-driven society,
increasing the need for labeled data. However, the process of acquiring labels is often …

We introduce ChatHF, an interactive annotation framework for chatbot evaluation, which
integrates configurable annotation within a chat interface. ChatHF can be flexibly configured …

Following the rapid progress in natural language processing (NLP) models, language
models are applied to increasingly more complex interactive tasks such as negotiations and …

Users generate content constantly, leading to new data requiring annotation. Among this
data, textual conversations are created every day and come with some specificities: they are …

Today's goal-oriented dialogue systems are designed to operate in restricted domains and
with the implicit assumption that the user goals fit the domain ontology of the system. Under …

Since the advent of Transformer-based, pretrained language models (LM) such as BERT,
Natural Language Understanding (NLU) components in the form of Dialogue Act …

A inteligência artificial surgiu nos anos 50, com a criação de um espaço de estudo com o
objetivo principal de desenvolver máquinas inteligentes. A sua evolução foi abrupta e hoje …