Papers by Egoitz Laparra

3 papers
Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries (2024.naacl-short)

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Challenge: Existing approaches to geocoding only encode location mentions and their context .
Approach: They propose a prompt-based approach to geocoding where the machine learning algorithm encodes only the location mention and its context.
Outcome: The proposed model achieves state-of-the-art performance on multiple datasets.
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models (N19-4)

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Challenge: a paper proposes a method for building probabilistic models of complex phenomena such as food insecurity . currently, these models are hand-built for each new situation and require months to construct .
Approach: They propose an approach that builds executable probabilistic models from raw, free text.
Outcome: The proposed approach builds executable probabilistic models from raw, free text.
A Dataset and Evaluation Framework for Complex Geographical Description Parsing (2020.coling-main)

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Challenge: Previously, work on toponym resolution has focused on identifying and resolving individual toponyms in text like Adrano, S.Maria di Licodia or Catania.
Approach: They propose a method that parses a set of coordinates and a collection of 360,187 uncurated complex geolocation descriptions to automate the process.
Outcome: The proposed approach automates most of the process by combining Wikipedia and OpenStreetMap.

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