Auto-labelling entities in low-resource text: a geological case study
Studies on named entity recognition (NER) often require a substantial amount of human-
annotated training data. This makes technical domain-specific NER from industry data …
annotated training data. This makes technical domain-specific NER from industry data …
[PDF][PDF] Geological knowledge graph construction from Mineral Exploration text
M Enkhsaikhan - 2021 - research-repository.uwa.edu.au
Geological Knowledge Graph Construction from Mineral Exploration Text Page 1 Geological
Knowledge Graph Construction from Mineral Exploration Text Majigsuren Enkhsaikhan Master …
Knowledge Graph Construction from Mineral Exploration Text Majigsuren Enkhsaikhan Master …
Domain-general versus domain-specific named entity recognition: A case study using TEXT
CY Lim, IKT Tan, B Selvaretnam - Multi-disciplinary Trends in Artificial …, 2019 - Springer
Named entity recognition (NER) seeks to identify and classify named entities within bodies
of text into language categories such as nouns, that are reflective of locations, organizations …
of text into language categories such as nouns, that are reflective of locations, organizations …
Big Data Analytics: A Text Mining Perspective and Applications in Biomedicine and Healthcare
J Natarajan, B Bhasuran… - Big Data Applications in …, 2022 - api.taylorfrancis.com
Objectives This chapter seeks to lay out the text mining perspective of Big Data analytics,
emphasizing applications in biomedicine and healthcare. The chapter aims to understand …
emphasizing applications in biomedicine and healthcare. The chapter aims to understand …
Early warning of incidents during protest demonstrations using Twitter
J Wouters - 2021 - studenttheses.uu.nl
While most protest demonstrations remain peaceful, some of them become violent, resulting
in possibly dangerous situations. Because there is a positive correlation between social …
in possibly dangerous situations. Because there is a positive correlation between social …
[图书][B] Generating an RDF Dataset from Twitter Data: A Study Using Machine Learning
S Alajlan - 2021 - search.proquest.com
This thesis presents work focused on finding the most effective and efficient mechanism (s)
for generating an RDF dataset from Twitter data. The motivation is the desire to extract …
for generating an RDF dataset from Twitter data. The motivation is the desire to extract …
Using Natural Language Processing for Location Extraction
TC May - 2019 - search.proquest.com
Trent Collins May USING NATURAL LANGUAGE PROCESSING FOR LOCATION
EXTRACTION Approved; December II, 2019 APPROVAL GRANTED BY: Stu Page 1 Trent …
EXTRACTION Approved; December II, 2019 APPROVAL GRANTED BY: Stu Page 1 Trent …