Time expression (aka, timex) recognition and normalization (TERN) is a crucial task for
downstream research. However, previous studies have overlooked the critical …

Time information plays an important role in the areas of data mining, information retrieval,
and natural language processing. Among the linguistic tasks related to time expressions …

Temporal relation extraction models have thus far been hindered by a number of issues in
existing temporal relation-annotated news datasets, including:(1) low inter-annotator …

In the field of Japanese medical information extraction, few analyzing tools are available and
relation extraction is still an under-explored topic. In this paper, we first propose a novel …

Constructing a timeline requires identifying the chronological order of events in an article. In
prior timeline construction datasets, temporal orders are typically annotated by either event …

We propose a voting-driven semi-supervised approach to automatically acquire the typical
duration of an event and use it as pseudo-labeled data. The human evaluation …

Extracting event time from news articles is a challenging but attractive task. In contrast to the
most existing pair-wised temporal link annotation, Reimers et al.(2016) proposed to …

Recently, quite a few studies have been progressive for temporal relation extraction, which
is an important work used in several natural language processing applications. However …

The goal of our work is creating the manually annotated EusTimeBank-TL timeline corpus
based on the temporally annotated EusTimeBank corpus. Tools such as KroniXa …

To understand the present situations and predict the future, it is essential to look at the past.
Since social situations and people's sense of values are constantly changing, most facts are …