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NLDB
2015
Springer

When it's all piling up: investigating error propagation in an NLP pipeline

8 years 11 days ago
When it's all piling up: investigating error propagation in an NLP pipeline
We present an analysis of a high-level semantic task, the construction of cross-document event timelines from SemEval 2015 Task 4: TimeLine, to trace down errors to the components of our pipeline system. Event timeline extraction requires many different Natural Language Processing tasks among which entity and event detection, coreference resolution and semantic-role-labeling are pivotal. These tasks yet depend on other low-level analysis. This paper shows where errors come from and whether they are propagated through the different layers. We also show that performance of each of the subtasks is still insufficient for the complex task considered. Finally, we observe that there is not enough semantics and inferencing within the standard NLP techniques to perform well.
Tommaso Caselli, Piek Vossen, Marieke van Erp, Ant
Added 15 Apr 2016
Updated 15 Apr 2016
Type Journal
Year 2015
Where NLDB
Authors Tommaso Caselli, Piek Vossen, Marieke van Erp, Antske Fokkens, Filip Ilievski, Rubén Izquierdo, Minh Le, Roser Morante, Marten Postma
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