Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kernel functions which usually have a single sentence in their scope. The overall aim of this paper is to propose methods for using knowledge and resources that are external to the target sentence, as a way to improve rela...

A key challenge introduced by the recent SpaceEval shared task on spatial relation extraction is the identification of MOVELINKs, a type of spatial relation in which up to eight spatial elements can participate. To handle the complexity of extracting MOVELINKs, we combine two ideas that have been successfully applied to information extraction tasks, namely tree kernels and multi-pass sieves, pr...

Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the tumor and patients immune sy...

as the stage next to that of corneal section and iridectomy in the extraction of a hard cataract; and I believe that this rule is invariably followed by the ophthalmic surgeons of the present day. The modification I propose, and have adopted in all my late cases, is to tear the capsule of the lens as the first preliminary step in the operation for extraction of cataract. The advantages accruing...

Relation Extraction is an important subtask of Information Extraction which has the potential of employing deep learning (DL) models with the creation of large datasets using distant supervision. In this review, we compare the contributions and pitfalls of the various DL models that have been used for the task, to help guide the path ahead.

water contamination due to the wide variety of pesticides used in agriculture is a global environmental pollution problem. in order to reach at sub-î¼gl-1 levels of detection, an efficient extraction technique is required. a simple, fast and economical method, dispersive liquid-liquid micro extraction (dllme), followed by gas chromatography-mass spectrometry was assessed for determining endosul...

a solid phase extraction sorbent based on polyaniline/graphene nanocomposite is presented. the structure and morphology of synthesized nanocomposite were investigated by fourier transform infrared spectroscopy, field emission scanning electron microscopy, x-ray diffraction and thermal gravimetric analysis. the dispersive solid phase extraction was employed to the isolation and preconcentration ...