Geographic question answering: challenges, uniqueness, classification, and future directions

G Mai, K Janowicz, R Zhu, L Cai… - AGILE: GIScience …, 2021 - agile-giss.copernicus.org
As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at
generating answers to questions phrased in natural language. While there has been …

Neural factoid geospatial question answering

H Li, E Hamzei, I Majic, H Hua, J Renz, M Tomko… - Journal of Spatial …, 2021 - josis.net
Existing question answering systems struggle to answer factoid questions when geospatial
information is involved. This is because most systems cannot accurately detect the …

Gauging, enriching and applying geography knowledge in Pre-trained Language Models

N Ramrakhiyani, V Varma, GK Palshikar… - Information Processing & …, 2025 - Elsevier
Abstract To employ Pre-trained Language Models (PLMs) as knowledge containers in niche
domains it is important to gauge the knowledge of these PLMs about facts in these domains …

Zero-shot Probing of Pretrained Language Models for Geography Knowledge

N Ramrakhiyani, V Varma, G Palshikar… - Proceedings of the 4th …, 2023 - aclanthology.org
Gauging the knowledge of Pretrained Language Models (PLMs) about facts in niche
domains is an important step towards making them better in those domains. In this paper, we …

A conversation with Danish Contractor: advancing chatbots and intelligent question-answering systems to support complex human querying

B Anjum - Ubiquity, 2019 - dl.acm.org
In this series of interviews with innovation leaders, Ubiquity Associate Editor and software
engineer, Dr. Bushra Anjum sits down with Danish Contractor, a senior artificial intelligence …