4 papers · 1 filter
NERsocial: Efficient Named Entity Recognition Dataset Construction for Human-Robot Interaction Utilizing RapidNER
Jesse Atuhurra, Hidetaka Kamigaito, Hiroki Ouchi +2
Adapting named entity recognition (NER) methods to new domains poses significant challenges. We introduce RapidNER, a framework designed for the rapid deployment of NER systems thr…
Graph-Structured Trajectory Extraction from Travelogues
Aitaro Yamamoto, Hiroyuki Otomo, Hiroki Ouchi +4
Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lin…
Introducing Syllable Tokenization for Low-resource Languages: A Case Study with Swahili
Jesse Atuhurra, Hiroyuki Shindo, Hidetaka Kamigaito +1
Many attempts have been made in multilingual NLP to ensure that pre-trained language models, such as mBERT or GPT2 get better and become applicable to low-resource languages. To ac…
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models
Jesse Atuhurra, Seiveright Cargill Dujohn, Hidetaka Kamigaito +2
Natural language processing (NLP) practitioners are leveraging large language models (LLM) to create structured datasets from semi-structured and unstructured data sources such as…