Presentation at The Second Workshop on Processing Emotions, Decisions and Opinions (EDO 2017) (8th Language & Technology Conference
International audienceBackground: Rapid advancements in biomedical research have accelerated the num...
Entity recognition has been studied for several years with good results. However, as the focus of in...
potentially enhance detection of the target concept type. With current ongoing efforts on corpus dev...
In this article we address the problem of providing automatized aid for the detection of misrepresen...
In this thesis, we report on our work on developing Natural Language Processing (NLP) algorithms to ...
In this article we consider application of Natural Language Processing (NLP) techniques to the task ...
In this article we present the first steps in developing an NLP algorithm for automatic detection of...
Introduction Spin is defined as reporting practices that distort the interpretation of results and c...
Background: We present a system for extracting biomedical events (detailed descriptions of biomolecu...
This paper describes the method for biomedical event extraction. The biomedical events occurs in rel...
Abstract Background This article describes a high-recall, high-precision approach for the extraction...
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biom...
International audienceThis work focuses on signs and symptoms recognition in biomedical texts abstra...
The number of scientific publications in the literature is steadily growing, containing our knowledg...
Shared tasks and community challenges represent key instruments to promote research, collaboration a...
International audienceBackground: Rapid advancements in biomedical research have accelerated the num...
Entity recognition has been studied for several years with good results. However, as the focus of in...
potentially enhance detection of the target concept type. With current ongoing efforts on corpus dev...
In this article we address the problem of providing automatized aid for the detection of misrepresen...
In this thesis, we report on our work on developing Natural Language Processing (NLP) algorithms to ...
In this article we consider application of Natural Language Processing (NLP) techniques to the task ...
In this article we present the first steps in developing an NLP algorithm for automatic detection of...
Introduction Spin is defined as reporting practices that distort the interpretation of results and c...
Background: We present a system for extracting biomedical events (detailed descriptions of biomolecu...
This paper describes the method for biomedical event extraction. The biomedical events occurs in rel...
Abstract Background This article describes a high-recall, high-precision approach for the extraction...
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biom...
International audienceThis work focuses on signs and symptoms recognition in biomedical texts abstra...
The number of scientific publications in the literature is steadily growing, containing our knowledg...
Shared tasks and community challenges represent key instruments to promote research, collaboration a...
International audienceBackground: Rapid advancements in biomedical research have accelerated the num...
Entity recognition has been studied for several years with good results. However, as the focus of in...
potentially enhance detection of the target concept type. With current ongoing efforts on corpus dev...
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