The number of documents published on the Web in languages other than English grows
every year. As a consequence, the need to extract useful information from different …

In the last decade, the quantity of readily accessible text has grown rapidly and enormously,
long exceeding the capacity of humans to read and understand it. One of the most …

It is estimated that more than 80% of the information on the Web is stored in textual form. As
such, it has become increasingly difficult for humans to sort and extract useful information …

Open information extraction (Open IE) is the task of extracting open-domain assertions from
natural language sentences. Considering the low availability of datasets and tools for this …

Abstract Open Information Extraction (OpenIE) is the task of extracting structured information
from text. Recent advances in applying Deep Learning to OpenIE tasks have improved the …

Abstract Information extraction (IE) involves the extraction of useful facts from texts. IE
approaches have been categorized into two types: Traditional IE and Open IE. Traditional IE …

Open information extraction (OpenIE) is a task of extracting structured information from
unstructured texts independently of the domain. Recent advances have applied Deep …

This paper comprehensively investigates the efficacy of different adaptation techniques for
Large Language Models (LLMs) in the context of Open Information Extraction (OpenIE) for …

It is estimated that more than 80% of the information on the Web is stored in textual form. For
humans, the task of extracting useful information from data that comes up daily is difficult. In …

In this work, we investigate the potential of Large Language Models (LLMs) for Open
Information Extraction (OpenIE) in the Portuguese language. While most OpenIE methods …