Papers Toponym Recognition
“Toponym Recognition” 태그가 달린 논문 11편 · 필터 해제
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding
In human reading and communication, individuals tend to engage in geospatial reasoning, which involves recognizing geographic entities and making informed inferences about their interrelationships. To mimic such cognitiv…
Entity TypingLanguage ModelingLanguage ModellingNatural Language Understanding+1GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding
Humans subconsciously engage in geospatial reasoning when reading articles. We recognize place names and their spatial relations in text and mentally associate them with their physical locations on Earth. Although pretra…
ArticlesContrastive LearningEntity TypingLanguage Modeling+4Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City
Critical toponymy examines the dynamics of power, capital, and resistance through place names and the sites to which they refer. Studies here have traditionally focused on the semantic content of toponyms and the top-dow…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-sho…
Few-Shot LearningScene ClassificationTime Series ForecastingToponym Recognition+1TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extraction framework can provide an avenue t…
HumanitarianToponym RecognitionHow can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
A vast amount of geographic information exists in natural language texts, such as tweets and news. Extracting geographic information from texts is called Geoparsing, which includes two subtasks: toponym recognition and t…
ArticlesEntity LinkingToponym RecognitionToponym ResolutionTIMBERT: Toponym Identifier For The Medical Domain Based on BERT
In this paper, we propose an approach to automate the process of place name detection in the medical domain to enable epidemiologists to better study and model the spread of viruses. We created a family of Toponym Identi…
SentenceToponym RecognitionAre We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
Geoparsing is an important task in geographic information retrieval. A geoparsing system, known as a geoparser, takes some texts as the input and outputs the recognized place mentions and their location coordinates. In J…
ArticlesBenchmarkingInformation RetrievalRetrieval+2Geotagging a Diachronic Corpus of Alpine Texts: Comparing Distinct Approaches to Toponym Recognition
Geotagging historic and cultural texts provides valuable access to heritage data, enabling location-based searching and new geographically related discoveries. In this paper, we describe two distinct approaches to geotag…
Toponym RecognitionToponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning
This paper compares how different machine learning classifiers can be used together with simple string matching and named entity recognition to detect locations in texts. We compare five different state-of-the-art machin…
BIG-bench Machine Learningnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3Toponym Identification in Epidemiology Articles - A Deep Learning Approach
When analyzing the spread of viruses, epidemiologists often need to identify the location of infected hosts. This information can be found in public databases, such as GenBank, however, information provided in these data…
ArticlesDeep LearningEpidemiologyToponym Recognition