Work

Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies

Year: 2018

Type: conference-paper

Abstract: 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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/3isfrdhrkv79

Authors: Alakananda Vempala, Eduardo Blanco

Institutions: University of North Texas, University of North Texas System, University of North Texas at Dallas

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2807561572

FWCI: 0.177

Cites: 11

Cited by: 2

Related to: 10