This paper presents a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes. We first generate potential knowledge using syntactic dependencies, and then crowdsource annotations to validate the potential knowledge. The resulting annotations indicate how long entities are or are not located somewhere, and temporally anchor this information. Crowdsourcing experiments show that spatial inferences are ubiquitous and intuitive, and experimental results show that they can be done automatically.
@InProceedings{VEMPALA18.951, author = {Alakananda Vempala and Eduardo Blanco}, title = "{Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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