Extracting named entities text forms the basis for many crucial tasks such as information
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …

We present the first dataset targeted at end-to-end NLG in Czech in the restaurant domain,
along with several strong baseline models using the sequence-to-sequence approach …

This systematic review aims to provide a comprehensive analysis of the state of data-to-text
generation research, focusing on identifying research gaps, offering future directions, and …

The RDF-to-text task has recently gained substantial attention due to continuous growth of
Linked Data. In contrast to traditional pipeline models, recent studies have focused on …

This paper explores automatic methods to identify relevant biography candidates in large
databases, and extract biographical information from encyclopedia entries and databases …

With the ever-growing adoption of Artificial Inteligence (AI) models comes an increasing
demand for making their output actions understandable. With this aim, it is crucial to …

The manual creation of gold standards for named entity recognition and entity linking is time-
and resource-intensive. Moreover, recent works show that such gold standards contain a …

El término género se refiere a las formas en que las relaciones entre los sexos se organizan
en una sociedad, ya la división de roles y poder asociados con esa organización. La …

This paper presents a more recent literature review on Natural Language Generation. In
particular, we highlight the efforts for Brazilian Portuguese in order to show the available …

Information extraction (IE) refers to the task of detecting and linking information contained in
written texts. While it includes various subtasks, relation extraction (RE) is used to link two …