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

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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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Cite this

Vossen, P. T. J. M. (2018). Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018) (pp. 660-666). [S18-1108] Association for Computational Linguistics.
Vossen, P.T.J.M. / Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018). Association for Computational Linguistics, 2018. pp. 660-666
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title = "Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs",
abstract = "In this paper, we describe the participationof the NewsReader system in the SemEval-2018 Task 5 on Counting Events and Par-ticipants in the Long Tail . NewsReader isa generic unsupervised text processing sys-tem that detects events with participants, timeand place to generate Event Centric Knowl-edge Graphs (ECKGs). We minimally adaptedthese ECKGs to establish a baseline perfor-mance for the task. We first use the ECKGs toestablish which documents report on the sameincident and what event mentions are coref-erential. Next, we aggregate ECKGs acrosscoreferential mentions and use the aggregatedknowledge 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 identityand reason over the result to answer the taskqueries.",
author = "P.T.J.M. Vossen",
year = "2018",
month = "4",
language = "English",
pages = "660--666",
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Vossen, PTJM 2018, Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs. in Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018)., S18-1108, Association for Computational Linguistics, pp. 660-666, 12th International Workshop on Semantic Evaluation SemEval 2018, New Orleans, 23/04/18.

Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs. / Vossen, P.T.J.M.

Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018). Association for Computational Linguistics, 2018. p. 660-666 S18-1108.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Vossen PTJM. Newsreader at semeval-2018 task 5: counting events by reasoning over event-centric-knowledge-graphs. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval2018). Association for Computational Linguistics. 2018. p. 660-666. S18-1108