• Aucun résultat trouvé

PubAnnotation: A Public Shared Platform for Scientific Literature Annotation.

N/A
N/A
Info
Télécharger
Protected

Academic year: 2022

Partager "PubAnnotation: A Public Shared Platform for Scientific Literature Annotation."

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

PubAnnotation

a public shared platform for scientific literature annotation

Jin-Dong Kim

Database Center for Life Science

Research Organization of Information and Systems 178-4-4 Wakashiba, Kashiwa, Japan

jdkim@dbcls.rois.ac.jp

Abstract— In the last decade, the technology for biomedical literature annotation made significant progress in terms of accuracy and speed. Now, some annotation systems claim that they have reached a production level. However, there still remain critical issues which we believe hinder further progress of the community. Among them, a relatively well known issue is

“interoperability” of annotation resources. We also recognize that the community is missing a general solution for “storage

infrastructure.” The talk will present the PubAnnotation project which aims at addressing these two issues. In the end, a new model for “sustainable shared tasks,” which is implemented on PubAnnotation, will be introduced as well.

Keywords—literature annotation; interoperability; storage infrastructure; PubAnnotation

Références

Télécharger maintenant ( PDF - 1 Page - 65.89 KB )

Documents relatifs

Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

(B) Boxplots of the PQIs for the evidence and literature terms (GOAPUB), for the same set enriched with the associative relations (+Dep.) or a random term set of the same

Comparison of Natural Language Processing Tools for Automatic Gene Ontology Annotation of Scientific Literature

Here, we conduct a comparison of four state of the art NLP tools at the task of recognizing Gene Ontology concepts from biomedical literature using the Colorado Richly

Taking a Dive: Experiments in Deep Learning for Automatic Ontology-Based Annotation of Scientific Literature

Below, we describe four deep learning models - Multi- layer perceptrons, Recurrent Neural Networks, Long Short- Term Memory, and Gated Recurrent Units. Next, we describe

An Automated Annotation Process for the SciDocAnnot Scientific Document Model

The model also integrate ontologies that help in the annotation process (the vio- let ontologies), and that are given more information about the content such as domain

BIM: an open ontology for the annotation of biomedical images

SEBI incorporates a variety of knowledge infrastructure components and services including image feature extraction [5], semantic web data services [6], linked open data

Annotation and annotation mining tools for analyzing speech prosody in the Polish-German Borderland database

Annotation and annotation mining tools for an- alyzing speech prosody in the Polish-German Borderland database.. 9th Language & Technology Conference: Human Language Technologies

Contemplata, a Free Platform for Constituency Treebank Annotation

At the level of implementation, Contemplata defines the data types/structures corresponding to the annotated objects at different levels: files, sentences, syntactic trees,

Drawing for Illustration and Annotation in 3D

// Draw clipped local surfaces // with stroke texture, stroke color Enable Depth Test..