Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs

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Abstract

In this paper, we describe the participation
of the NewsReader system in the SemEval-
2018 Task 5 on Counting Events and Par-
ticipants in the Long Tail . NewsReader is
a generic unsupervised text processing sys-
tem that detects events with participants, time
and place to generate Event Centric Knowl-
edge Graphs (ECKGs). We minimally adapted
these ECKGs to establish a baseline perfor-
mance for the task. We first use the ECKGs to
establish which documents report on the same
incident and what event mentions are coref-
erential. Next, we aggregate ECKGs across
coreferential mentions and use the aggregated
knowledge to answer the questions of the task.
Our participation tests the quality of News-
Reader to create ECKGs, as well as the po-
tential of ECKGs to establish event identity
and reason over the result to answer the task
queries.
Original languageEnglish
Title of host publicationProceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018)
PublisherAssociation for Computational Linguistics
Pages660-666
Number of pages7
Publication statusPublished - Apr 2018
Event12th International Workshop on Semantic Evaluation SemEval 2018 - New Orleans
Duration: 23 Apr 2018 → …
Conference number: 12

Conference

Conference12th International Workshop on Semantic Evaluation SemEval 2018
Abbreviated titleSemEval 2018
CityNew Orleans
Period23/04/18 → …

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