Abstract The task of Relation Extraction is one of the main challenges in Natural Language
Processing. We present a review of the state-of-the-art for Relation Extraction in free texts …

Abstract Background Electronic medical records (EMRs) contain a variety of valuable
medical concepts and relations. The ability to recognize relations between medical concepts …

Abstract Industrial applications of Named Entity Recognition (NER) are usually confronted
with small and imbalanced corpora. This could harm the performance of trained and …

Background Relation extraction is an essential procedure in literature mining. It focuses on
extracting semantic relations between parts of text, called mentions. Biomedical literature …

Abstract The task of Open Relation Extraction from texts faces many challenges, considering
the required linguistic knowledge and the sophistication of the language processing …

An important task in Information Extraction is Relation Extraction. Relation Extraction (RE) is
the task of detecting and characterizing the semantic relations between entities in the text …

Abstract The task of Relation Extraction from texts is one of the main challenges in the area
of Information Extraction, considering the required linguistic knowledge and the …

Relation extraction is an important task with many applications in natural language
processing, such as structured knowledge extraction, knowledge graph construction, and …

Subjective expression extraction is a central problem in fine-grained sentiment analysis.
Most existing works focus on generic subjective expression extraction as opposed to aspect …

The development of a topic in a set of topic documents is constituted by a series of person
interactions at a specific time and place. Knowing the interactions of the persons mentioned …