Named Entity Recognition in User-generated Text (English Twitter): A Systematic Literature Review
Named Entity Recognition (NER) in social media has received much research attention in
the field of natural language processing (NLP) and information extraction. Research on this …
the field of natural language processing (NLP) and information extraction. Research on this …
Generative entity typing with curriculum learning
Entity typing aims to assign types to the entity mentions in given texts. The traditional
classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to …
classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to …
Neural hidden Markov model for machine translation
Attention-based neural machine translation (NMT) models selectively focus on specific
source positions to produce a translation, which brings significant improvements over pure …
source positions to produce a translation, which brings significant improvements over pure …
[HTML][HTML] Exploring Biomedical Named Entity Recognition SciSpaCy and BioBERT Models
Methods Our paper explores the field of Biomedical Named Entity Recognition (BioNER) by
closely analysing two advanced models, SciSpaCy and BioBERT. We have made two …
closely analysing two advanced models, SciSpaCy and BioBERT. We have made two …