mlsanityData to 14 Oct 2026

Toward building next-generation Geocoding systems: a systematic review

arXiv 2503.18888 ↗First posted 24 Mar 2025cs.SE cs.CL cs.IRcited by 1

Not on the map. Why?

Abstract (arXiv)

Geocoding systems are widely used in both scientific research for spatial analysis and everyday life through location-based services. The quality of geocoded data significantly impacts subsequent processes and applications, underscoring the need for next-generation systems. In response to this demand, this review first characterizes the technical requirements for next-generation geocoding inputs and outputs. We then decompose the geocoding workflow into modular functional units and survey existing implementations. For each component, we identify methodological limitations, articulate domain-specific research questions and hypotheses, and outline evaluation strategies needed. Finally, we identify opportunities to improve next-generation geocoding systems in light of recent technological advances. We envision that this review provides a technical foundation and research agenda for advancing the design, assessment, and deployment of next-generation geocoding systems.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 115 references that are in the map. First posted on arXiv 24 Mar 2025.

Builds on

13 of 115 references.

References · 13

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  5. 2016Neural Architectures for Named Entity Recognitioncited by 550
  6. 2015Named Entity Recognition with Bidirectional LSTM-CNNscited by 201
  7. 2023A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challengecited by 55
  8. 2023Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messagescited by 31
  9. 2022Location reference recognition from texts: A survey and comparisoncited by 17
  10. 2021Did the Model Change? Efficiently Assessing Machine Learning API Shiftscited by 13
  11. 2020Leveraging Subword Embeddings for Multinational Address Parsingcited by 6
  12. 2018Geo-Text Data and Data-Driven Geospatial Semanticscited by 4
1 more
  1. 2023Is ChatGPT a game changer for geocoding -- a benchmark for geocoding address parsing techniquescited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.