Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

CALBC

Financiado

Cerrado

Collaborative Annotation of a Large Biomedical Corpus

This proposal defines a support action project that brings together the researchers from international biomedical text-mining groups to address the difficult issue of annotating large text corpora with a large set of semantic type... ver más

30/06/2011

EMBL

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

EUROPEAN MOLECULAR BIOLOGY LABORATORY No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 4 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2011-06-30 No tenemos la información de la convocatoria

0% 68% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

EMBL

0.00€ | Lider

UNI JENA

N.D. | Participante

ERASMUS MC

N.D. | Participante

Proyectos interesantes

MANTRA

Data Science

Software

2M€ Cerrado

PID2019-106942RB-C32

Data Science

Medical Technol...

120K€ Cerrado

BES-2017-081045

Data Science

Software

93K€ Cerrado

TIN2010-20644-C03-02

Medical Technol...

Data Science

48K€ Cerrado

TIN2010-20644-C03-03

Medical Technol...

Data Science

63K€ Cerrado

TIN2010-20644-C03-01

Medical Technol...

Data Science

86K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Líder del proyecto

EUROPEAN MOLECULAR BIOLOGY LABORATORY No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto This proposal defines a support action project that brings together the researchers from international biomedical text-mining groups to address the difficult issue of annotating large text corpora with a large set of semantic types. We propose a collaborative approach to this annotation task in the form of an open challenge to the biomedical text-mining community. The task is the annotation of named entities in a large biomedical corpus, for a variety of semantic categories. The project delivers as outcome a large, collaboratively annotated corpus, marked with the mentions of biomedical entities. The annotated corpus becomes a resource for the community, to be used as a reference for improving text-mining applications. The biomedical text-mining research community has a long tradition of organizing such challenges, as a way of evaluating techniques, sharing technical knowledge, and helping to improve the results from text-mining programs. However, such challenges have typically addressed relatively small corpora in a narrow sub-domain, in part because the evaluation of the results is extremely long and costly. As a result, the generated annotated corpora are too small and are only narrowly annotated to be useful in a variety of text-mining applications. In contrast, we propose to create a broadly-scoped and large annotated corpus by integrating the annotations from different named entity recognition systems. Metadata will also be added to the corpus. The participating systems have different application scopes and annotation strategies, and therefore complement each other. As a consequence, the annotated corpus reflects these different scopes and strategies. A secondary goal of this project is to define a standardized format for representing the annotations contributed by the participants and comparing them effectively. Currently the lack of such a format hinders progress in the evaluation of named entity recognition systems.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores