Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

Textual documents serve as representations of discussions on a variety of subjects. These
discussions can vary in length and may encompass a range of events or factual information …

Discrete and continuous representations of content (eg, of language or images) have
interesting properties to be explored for the understanding of or reasoning with this content …

TimeML is a scheme for representing temporal information (times, events, & temporal
relations) in texts. Although automatic TimeML annotation is challenging, there has been …

Temporal information extraction (TIE) has attracted a great deal of interest over the last two
decades. Such endeavors have led to the development of a significant number of datasets …

Abstract jTLEX is a programming library that provides a Java implementation of the
TimeLine EXtraction algorithm (TLEX; Finlayson et al., 2021), along with utilities for …

Reliable extraction of temporal relations from clinical notes is a growing need in many
clinical research domains. Our work introduces typed markers to the task of clinical temporal …

We construct a Chinese Economic Event Treebank (CEETB), focusing on revealing
economic and finance events and their relations. Investigating economic event relations will …

A timeline provides a total ordering of events and times, and is useful for a number of natural
language understanding tasks. However, qualitative temporal graphs that can be derived …

Abstract pyTLEX is an implementation of the TimeLine EXtraction algorithm (TLEX;
Finlayson et al., 2021) that enables users to work with TimeML annotations and perform …