TempEval is a framework for evaluating systems that automatically annotate texts with
temporal relations. It was created in the context of the SemEval 2007 workshop and uses the …

Objective To provide a natural language processing method for the automatic recognition of
events, temporal expressions, and temporal relations in clinical records. Materials and …

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 …

Aspectual Type and Temporal Relation Classification Page 1 Proceedings of the 13th
Conference of the European Chapter of the Association for Computational Linguistics …

Leon RA Derczynski Page 1 Studies in Computational Intelligence 677 Leon RA Derczynski
Automatically Ordering Events and Times in Text Page 2 Studies in Computational Intelligence …

We describe the University of Sheffield system used in the TempEval-2 challenge, USFD2.
The challenge requires the automatic identification of temporal entities and relations in text …

The automatic prediction of aspectual classes is very challenging for verbs whose aspectual
value varies across readings, which are the rule rather than the exception. This paper sheds …

Important information for public health is contained within Electronic Health Records (EHRs).
The vast majority of clinical data available in these records takes the form of narratives …

We present CAVaT, a tool that performs Corpus Analysis and Validation for TimeML. CAVaT
is an open source, modular checking utility for statistical analysis of features specific to …

The ability to capture the temporal dimension of a natural language text is essential to many
natural language processing applications, such as Question Answering, Automatic …