In this paper, we introduce TimeBankPT, a TimeML annotated corpus of Portuguese. It has been produced by adapting an existing resource for English, namely the data used in the first TempEval challenge. TimeBankPT is the first corpus of Portuguese with rich temporal annotations (i.e. it includes annotations not only of temporal expressions but also about events and temporal relations). In addition, it was subjected to an automated error mining procedure that checks the consistency of the annotated temporal relations based on their logical properties. This procedure allowed for the detection of some errors in the annotations, that also affect the original English corpus. The Portuguese language is currently undergoing a spelling reform, and s...
International audienceThis paper presents Temporal@ODIL, a project that aims at building the largest...
TimeBank (Pustejovsky et al, 2003a), a reference for TimeML (Pustejovsky et al, 2003b) compliant ann...
There has been a recent sharp increase in interest in academia and industry in applying machine lear...
We describe the semi-automatic adapta-tion of a TimeML annotated corpus from English to Portuguese, ...
In this work, we introduce a software testbed for temporal processing of Portuguese texts, composed ...
Abstract. This paper reports on experimenting with the extraction of temporal information from Portu...
Reviewed by João BalsaThis paper presents LX-TimeAnalyzer, a tool that extracts the temporal informa...
In this article, we present COPLE2, a new corpus of Portuguese that encompasses written and spoken d...
This article presents work carried out within the framework of the ongoing ANR (French National Rese...
An important part of natural language text comprehension is the understanding of temporal informati...
International audienceThis paper reports a critical analysis of the TimeML standard, in the light of...
The Historical Dictionary of Brazilian Portuguese (HDBP), the first of its kind, is based on a corpu...
We present CAVaT, a tool that performs Corpus Analysis and Validation for TimeML. CAVaT is an open s...
para a obtenção do grau de doutor em Informática (especialidade Ciência da Com-putação). 2012 Tempor...
Abstract. The design of TimeML as an expressive language for temporal information brings promises, a...
International audienceThis paper presents Temporal@ODIL, a project that aims at building the largest...
TimeBank (Pustejovsky et al, 2003a), a reference for TimeML (Pustejovsky et al, 2003b) compliant ann...
There has been a recent sharp increase in interest in academia and industry in applying machine lear...
We describe the semi-automatic adapta-tion of a TimeML annotated corpus from English to Portuguese, ...
In this work, we introduce a software testbed for temporal processing of Portuguese texts, composed ...
Abstract. This paper reports on experimenting with the extraction of temporal information from Portu...
Reviewed by João BalsaThis paper presents LX-TimeAnalyzer, a tool that extracts the temporal informa...
In this article, we present COPLE2, a new corpus of Portuguese that encompasses written and spoken d...
This article presents work carried out within the framework of the ongoing ANR (French National Rese...
An important part of natural language text comprehension is the understanding of temporal informati...
International audienceThis paper reports a critical analysis of the TimeML standard, in the light of...
The Historical Dictionary of Brazilian Portuguese (HDBP), the first of its kind, is based on a corpu...
We present CAVaT, a tool that performs Corpus Analysis and Validation for TimeML. CAVaT is an open s...
para a obtenção do grau de doutor em Informática (especialidade Ciência da Com-putação). 2012 Tempor...
Abstract. The design of TimeML as an expressive language for temporal information brings promises, a...
International audienceThis paper presents Temporal@ODIL, a project that aims at building the largest...
TimeBank (Pustejovsky et al, 2003a), a reference for TimeML (Pustejovsky et al, 2003b) compliant ann...
There has been a recent sharp increase in interest in academia and industry in applying machine lear...