The transformation of the chemical industry to renewable energy and feedstock supply
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …

A drug–drug interaction (DDI) occurs when one drug influences the level or activity of
another drug. Information Extraction (IE) techniques can provide health care professionals …

Relation Extraction (RE) is the task of extracting semantic relationships between entities in
text. Recent studies on relation extraction are mostly supervised. The clear drawback of …

We introduce globally normalized convolutional neural networks for joint entity classification
and relation extraction. In particular, we propose a way to utilize a linear-chain conditional …

Both entity and relation extraction can benefit from being performed jointly, allowing each
task to correct the errors of the other. We present a new method for joint entity and relation …

Abstract Background Adverse Drug reactions (ADR) cause a high number of deaths among
hospitalized patients in developed countries. Major drug agencies have devoted a great …

DBpedia is a Semantic Web project aiming to extract structured data from Wikipedia articles.
Due to the increasing number of resources linked to it, DBpedia plays a central role in the …

The aim of Named Entity Recognition (NER) is to identify references of named entities in
unstructured documents, and to classify them into pre-defined semantic categories. NER …

The term" ontology" comes from the field of philosophy that is concerned with the study of
being or existence. In general computer science defines ontology as an" explicit …

Named entity recognition (NER) and relation extraction (RE) are two important subtasks in
information extraction (IE). Most of the current learning methods for NER and RE rely on …