Papers by Egoitz Laparra
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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Rebecca Sharp, Adarsh Pyarelal, Benjamin Gyori, Keith Alcock, Egoitz Laparra, Marco A. Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John Bachman, Zheng Tang, Heather Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton Morrison, Mihai Surdeanu
| 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. |