Add to ORKGInternational audienceWe present work on tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages. The main amount of the method is related to the enrichment and adaptation of linguistic resources to identify Timex3 clinical expressions and to normalize them. The test of the adapted versions have been done on the i2b2/VA 2012 corpus for English and a collection of clinical texts for French, which have been annotated for the purpose of this study. We achieve a 0.8500 F-measure on the recognition and normalization of temporal expressions in English, and up to 0.9431 in French. Future work will allow to improve and consolidate the results
International audienceThis paper reports a critical analysis of the TimeML standard, in the light of...
Abstract Background Temporal expression extraction and normalization is a fundamental and essential ...
Proceedins at: 5th International Workshop on Semantic (Semeval-2010), took place in July 2010 in Upp...
International audienceWe present work on tuning the Heideltime system for identifying time expressio...
International audienceIn this paper we analyze the problem of recognition of temporal expressions an...
An important part of natural language text comprehension is the understanding of temporal informati...
One of the most important features of health care is to be able to follow a pa-tient’s progress over...
In this paper, we describe our participation in the TempEval-3 challenge. With our multi-lingual tem...
International audienceIn this paper, we present a method for temporal relation extraction fro...
The widespread adoption of Electronic Health Records (EHRs) is generating an ever-increasing amount ...
•extraction of temporal expressions •normalization of temporal expressions Most approaches • focus o...
The prevalence of temporal references across all types of natural language utter-ances makes tempora...
Temporal expressions are words or phrases that describe a point, duration or recurrence in time. Aut...
This paper introduces a new class of tem-poral expression – named temporal ex-pressions – and method...
This paper presents the Chronos system developed at ITCirst to participate in the English Full Task ...
International audienceThis paper reports a critical analysis of the TimeML standard, in the light of...
Abstract Background Temporal expression extraction and normalization is a fundamental and essential ...
Proceedins at: 5th International Workshop on Semantic (Semeval-2010), took place in July 2010 in Upp...
International audienceWe present work on tuning the Heideltime system for identifying time expressio...
International audienceIn this paper we analyze the problem of recognition of temporal expressions an...
An important part of natural language text comprehension is the understanding of temporal informati...
One of the most important features of health care is to be able to follow a pa-tient’s progress over...
In this paper, we describe our participation in the TempEval-3 challenge. With our multi-lingual tem...
International audienceIn this paper, we present a method for temporal relation extraction fro...
The widespread adoption of Electronic Health Records (EHRs) is generating an ever-increasing amount ...
•extraction of temporal expressions •normalization of temporal expressions Most approaches • focus o...
The prevalence of temporal references across all types of natural language utter-ances makes tempora...
Temporal expressions are words or phrases that describe a point, duration or recurrence in time. Aut...
This paper introduces a new class of tem-poral expression – named temporal ex-pressions – and method...
This paper presents the Chronos system developed at ITCirst to participate in the English Full Task ...
International audienceThis paper reports a critical analysis of the TimeML standard, in the light of...
Abstract Background Temporal expression extraction and normalization is a fundamental and essential ...
Proceedins at: 5th International Workshop on Semantic (Semeval-2010), took place in July 2010 in Upp...