Title: Spatial role labeling: Towards extraction of spatial relations from natural language
Authors: Kordjamshidi, Parisa ×
van Otterlo, Martijn
Moens, Marie-Francine #
Issue Date: 2011
Publisher: Association for Computing Machinery, Inc.
Series Title: ACM Transactions on Speech and Language Processing vol:8 issue:3 pages:article 4, 36 p
Abstract: This article reports on the novel task of spatial role labeling in natural language text. It proposes machine learning methods to extract spatial roles and their relations. This work experiments with both a step-wise approach, where spatial prepositions are found and the related trajectors and landmarks are then extracted, and a joint learning approach, where a spatial relation and its composing indicator, trajector and landmark are classified collectively. Context-dependent learning techniques, such as a skip-chain conditional random field, yield good results on the GUM evaluation data (Maptask) data and the CLEF-IAPR TC-12 Image Benchmark. An extensive error analysis, including feature assessment, and a cross-domain evaluation pinpoint the main bottlenecks and avenues for future research.
ISSN: 1550-4883
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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