Improving toponym resolution with better candidate generation, transformer-based reranking, and two-stage resolution

Z Zhang, S Bethard - arXiv preprint arXiv:2305.11315, 2023 - arxiv.org
Geocoding is the task of converting location mentions in text into structured data that
encodes the geospatial semantics. We propose a new architecture for geocoding, GeoNorm …

Geoparsing: Solved or biased? an evaluation of geographic biases in geoparsing

Z Liu, K Janowicz, L Cai, R Zhu… - AGILE: GIScience …, 2022 - agile-giss.copernicus.org
Geoparsing, the task of extracting toponyms from texts and associating them with
geographic locations, has witnessed remarkable progress over the past years. However …

Geographical and linguistic perspectives on developing geoparsers with generic resources

T Leppämäki, T Toivonen, T Hiippala - International Journal of …, 2024 - Taylor & Francis
Geoparsers aim to find place names in unstructured texts and locate them geographically.
This process produces georeferenced data usable for spatial analyses or visualisations …

A Hierarchy-Aware Geocoding Model Based on Cross-Attention within the Seq2Seq Framework

L Liang, Y Chang, Y Quan, C Wang - ISPRS International Journal of Geo …, 2024 - mdpi.com
Geocoding converts unstructured geographic text into structured spatial data, which is
crucial in fields such as urban planning, social media spatial analysis, and emergency …

A survey on geocoding: algorithms and datasets for toponym resolution

Z Zhang, S Bethard - Language Resources and Evaluation, 2024 - Springer
Geocoding, the task of converting unstructured text to structured spatial data, has recently
seen progress thanks to a variety of new datasets, evaluation metrics, and machine-learning …

Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing

T Kuculo - Companion Proceedings of the Web Conference 2022, 2022 - dl.acm.org
Recent work has utilised knowledge-aware approaches to natural language understanding,
question answering, recommendation systems, and other tasks. These approaches rely on …

[HTML][HTML] Developing a Finnish geoparser for extracting location information from unstructured texts

T Leppämäki - 2022 - helda.helsinki.fi
Alati enemmän aineistoa tuotetaan ja jaetaan internetin kautta. Aineistot ovat vaihtelevia
muodoiltaan, kuten verkkoartikkelien ja sosiaalisen media julkaisujen kaltaiset digitaaliset …

Improving Geocoding by Incorporating Geographical Hierarchy and Attributes into Transformers Networks

Z Zhang - 2023 - search.proquest.com
With the development of artificial intelligence, machines are empowering all aspects of
people's lives. However, there are still many shortcomings in AI. For example, AI robots …

Geoparsing Recognition and Extraction from Amazigh Corpus Using the NooJ Complex Annotation Structures

B Ladouzi, A Rhazi, A Boulaalam - International Conference on Advanced …, 2022 - Springer
This paper deals with a novel toponym recognition approach for various geoparsing
purposes, and presents a method for classifying and extraction toponyms as named Entities …

[引用][C] Geoparsing with NooJ Italian toponym resolution for environmental crimes, Raffaele Manna, Annarita Magliacane, Antonio Pascucci, Wanda Punzi Zarino …

R Manna - 15th INTERNATIONAL CONFERENCE NooJ 2021, 2021