Recently joint modeling methods of entity and relation exhibit more promising results than
traditional pipelined methods in general domain. However, they are inappropriate for the …

In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions.
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …

Identifying interactions between proteins is important to understand underlying biological
processes. Extracting a protein-protein interaction (PPI) from the raw text is often very …

This article aims at presenting recent advances in Formal Concept Analysis (2010-2015),
especially when the question is dealing with complex data (numbers, graphs, sequences …

Document-level biomedical relation extraction aims to extract the relation between multiple
mentions of entities throughout an entire document. However, most methods suffer from long …

Abstract Knowledge graphs and other forms of relational data have become a widespread
kind of data, and powerful methods to analyze and learn from them are needed. Formal …

In this article, we trace the genesis of the French derivational database Démonette and show
how its architecture and content stem from recent theoretical developments in derivational …

For a better understanding of the underlying biological mechanisms, it is crucial to identify
the reciprocity between proteins. Often, extracting such interactions between proteins from …

Abstract Knowledge Graphs (KG) offer easy-to-process information. An important issue to
build a KG from texts is the Relation Extraction (RE) task that identifies and labels …

During the last decade, the need for reliable and massive Knowledge Graphs (KG)
increased. KGs can be created in several ways: manually with forms or automatically with …